Description slide 1 Description slide 2 Description slide 3 Description slide 4

Biomedical Electronic (2012-2013)

Print

 

BEng. (Hons.) Biomedical Electronic

No

Title

Project Description

1

A biomechanical analysis of the three phases in triple jump

The triple jump (sometimes referred to as the hop, step and jump or, incorrectly, the hop, skip and jump) is a track and field sport, similar to the long jump, but involving a “hop, bound and jump” routine, whereby the competitor runs down the track and performs a hop, a bound and then a jump into the sand pit. The aims of this project is to investigate the kinematic parameters in the three phases that contribute to the longest jump. Data collection will be done at UiTM Arau. All data will be analyzed by using Statistical Package for Social Science (SPSS) Software.

2

A comparative study of using Kinect Xbox and Wii for Home Exercise

Kinect is a motion sensing input device by Microsoft for the Xbox 360 video game console and Windows PCs. Based around a webcam-style add-on peripheral for the Xbox 360 console, it enables users to control and interact with the Xbox 360 without the need to touch a game controller, through a natural user interface using gestures and spoken commands. The Wii is a home video game console released by Nintendo. To play the game, we need to hold a joystick. The aim of the project is to conduct a comparative study between this two console in terms of kinematics, kinetics and EMG signals.

3

A Comparison of Feature Extraction Methods for EEG Signals

Objective of this project is to investigate the most suitable method of feature extraction applied to EEG signals. The scopes will involved to study, analyze, and make a comparison on several available feature extraction methods. Possible platform for the analysis is MATLAB.

4

A Low Cost Automated Knee Physiotherapy Device: Electrical Design and Control Algorithm

Knee rehabilitation therapy is an essential step to recover normal joint function for daily activities. Physical rehabilitation can take several weeks or even months until full range of motions and joint flexibility are regained. Knee rehabilitation will lead to satisfactory results only at the condition that exercises are performed regularly. An important part in knee rehabilitation is the patellar mobilization which is nowadays performed manually by a physical therapist. The project focuses on the development of an automated Knee Physiotherapy Device for the purpose of rehabilitation.

5

A Study of lower limbs loads variation and its effects on cycling performance

The purpose of this project is to investigate the effects of frequency and load on lower extremity muscle activities during cycling. Do it has any effect to cycling performance? Is it possible to be used in rehabiliation? A few part of muscles will be analyzed on different loads. 5 Oqus camera and Delsys EMG system will be used during the entire project.

6

A Study on Dynamic Body Stability during Performing Karate Punch

In order to be successful in karate, it is necessary to apply the highest punch impulse at impact while maintaining dynamic body stability during the entire action. This study requires students to design the experiment using force platform and analysis the data statistically.

7

A Study on Lower Limb Stability during Single Stance Phase for Karate Front Kick

Karate is an extremely popular sport that has become a philosophy of life for many people especially the Japanese. The practice (training) leads to development of movement patterns, which determines sports achievements. In order to ensure the stability necessary to strike a strong blow, all body parts must be used harmoniously. Attack and defense often call for maximal leaning forward, standing on one leg etc. This study requires students to design the experiment using force platform and analysis the data statistically.

8

A study on the kinematics and kinetics parameters of a two dimensional rigid object transfer involving two humans

Certain object requires cooperation by two persons to be transferred from one position to another. The word ‘transfer’ refers to activities of holding and moving an object to reach a target which is located at certain distance from the object’s initial location. Both start and target locations are at the same height from ground level. Although many researches were done on cooperative object transfer, the relationship between kinematics and kinetics parameters of cooperative transfer motion was not clearly understood. Thus, in this project, the aforementioned relationship will be investigated. The results are expected to be used for hand movement rehabilitation therapy.

9

A study on the kinematics and kinetics parameters of an individual during two dimensional rigid object transfers

Transferring an object from one position to another by hand is a common task executed by human to achieve certain objective. The word ‘transfer’ refers to activities of holding and moving an object to reach a target which is located at certain distance from the object’s initial location. Both start and target locations are at the same height from ground level. Although many researches were done on individual object transfer, the relationship between kinematics and kinetics parameters of the motion was not clearly understood. Thus, in this project, the aforementioned relationship will be investigated. The results are expected to be used for hand movement rehabilitation therapy.

10

Analysis of 100 m sprinting in starting phase

The 100 metres, or 100-metre dash, is a sprint race in track and field competitions. The shortest common outdoor running distance, it is one of the most popular and prestigious events in the sport of athletics. Runners begin in the starting blocks and the race begins when an official fires the starter's pistol. This project will study kinematic parameter and EMG signal during the starting phase of 100 m basically when the athlete is on the starting block. Data collection will be done at UiTM Arau. All data will be analyzed by using Statistical Package for Social Science (SPSS) Software.

11

Ankle and midfoot kinetics during normal gait: A multi-segment approach

Multi-segment foot models are increasingly being used to evaluate intra and inter-segment foot kinematics such as the motion between the hindfoot/tibia (ankle) and the forefoot/hindfoot (midfoot) during walking. However, kinetic analyses have been mainly restricted to one-segment foot models and could be improved by considering a multi-segment approach.

12

Apnea Disorder Monitor

Sleep apnea is a sleep disorder characterized by abnormal pauses in breathing or instances of abnormally low breathing, during sleep. Breathing pauses can last from a few seconds to minutes. Sleep apnea often goes undiagnosed. Physician normaly cannot detect the condition of apnea during routine check. Also, there are no blood tests for the condition. Most people who have sleep apnea don't know they have it because it only occurs during sleep. When the apnea occurs which is the airways completely blocked, the level of oxygen in the blood will be decrease. The level of oxygen in the blood can be measure and monitor using pulse oximetry or known as SpO2. SpO2 Is a measurement of the amount of oxygen attached to the haemoglobin cell in the circulatory system. This is because the oximeter is capable of providing the necessary information regarding how well the air is getting into the lungs, and therefore of oxygen in the bloodstream, recorded at regular intervals throughout the night. SpO2 Is given in as a percentage, a normal person is around 96%.

13

Assessment of Knee Joint Aging and Degeneration between adults and elderly using Acoustic Emission Sensors

As one of the largest joints capable of withstanding several times body weight and one of the most complex musculoskeletal structures with movements involving interaction among various anatomical parts (bones, cartilage, muscles, tendons, and ligaments) the human knee joint has been studied extensively. Typical changes in knees caused by the ageing process include increased stiffness of ligaments, reduced quality and quantity of synovial fluid, increased articular surface roughness, reduced cartilage thickness, and reduced muscle strength. Cartilage degeneration associated with increases in age.

Knee joint aging and degeneration can be investigated using short transient bursts of high frequency acoustic emission (AE) released by the knee joints. In this project, acoustic emission sensor based assessment of knee joints from two different age groups(Adults and Elderly). Standard experimental procedure will be developed to acquire AE signals using miniature AE sensors. Suitable signal processing algorithms will be developed to discover the differences in acoustic emission between adults and elderly. Suitable classifiers will be developed to classify the recorded AE signals into normal and abnormal. The proposed method can be used as a non-invasive assessment of knee joints aging and degeneration.

14

Assessment of Knee Joint Aging and Degeneration between adults and elderly using Miniature Accelerometers

In the area of medical diagnosis, noninvasive assessment techniques are fast replacing the traditional evaluation methods based on "feeling". The knee joint is the most commonly injured or diseased joint in the human body. Knee joint problem(aging and degeneration) may occur due to pro-longed and excessive use of the knee joint, obesity, and genetic factors. The human knee joint is one of the largest joints capable of withstanding several times body weight and one of the most complex musculoskeletal structures with movements involving interaction among various anatomical parts. Typical changes in knees such as increased stiffness of ligaments, reduced quality and quantity of synovial fluid, increased articular surface roughness, reduced cartilage thickness, and reduced muscle strength is a phenomenon more common to elderly people compared to adult.

Knee joint aging and degeneration can be investigated using vibroarthrographic (VAG) signals released by the knee joints. In this project, Miniature accelerometer based assessment of knee joints from two different age group s(Adults and Elderly). Standard experimental procedure will be developed to acquire VAG signals using miniature accelerometers. Suitable signal processing algorithms will be developed to discover the differences in VAG signals between adults and elderly. Suitable classifiers will be developed to classify the recorded VAG signals into normal and abnormal. The proposed method can be used as a non-invasive assessment of knee joints aging and degeneration.

15

Automated control of temperature-medium supply in perfusion bioreactor

A bioreactor is the general term applied to a closed culture environment, that is usually mixed, that enables control of one or more environmental or operating variables that affect biological processes. It provides an important role for monitoring and controlling the conditions of cell culturing (e.g. pH, temperature, frequency, oxygen, mechanical load response, metabolite flow and nutrient supply). Three dimensional scaffolds are constructed to undergo the natural mechanical forces of cell seeded scaffold to generate cell proliferation and differentiation. This project requires the student to develop the monitoring and detector of medium/nutrient to supply for cell culturing. The monitoring has a controller to timely set according to the temperature/humidity in the whole of bioreactor system.

16

Automated Detection System for Premature Ventricular Contraction Beats

Objective of this project is to develop a system that can differentiate a normal   ECG signals from Premature Ventricular Contraction ECG signals. The system will be implemented using Borland C++ Builder/Visual C++. A brief introduction class to familiarize the platform will be arranged. However, a good background of computer programming knowledge are required.

17

Automatic Detection of ECG Signal for Right Bundle Branch Block Abnormalities

Analysis of the ECG signal is important in order to detect cardiac abnormalities. This project is proposed to detect right bundle branch block abnormalities using signal processing methods. This project will be implemented using Borland C++/Visual C++ builder. A brief introduction class to familiarize this platform will be arranged. However, student needs to have a good knowledge in C programming.

18

Automatic Detection of Non-Conducted P-Wave ECG Signals

Objective of this project is to develop a system that can differentiate a normal   ECG signals from Non-conducted P-Wave ECG signals. The system will be implemented using Borland C++ Builder/Visual C++. A brief introduction class to familiarize the platform will be arranged. However, a good background of computer programming knowledge are required.

19

Biomechanics Study on lower back end effects on human working posture

This Project won Gold in Expo Rekacipta Unimap and also Gold in IEnvex with special award. This project requires the student to design napier grass cutting machine and do field work to test the biomechanics study on effects on human ergonomic in order to determine the best working posture. Student will learn to use their knowledge to design machines that ease human working condition in real life situation that will contribute to knowledge and ease of working. Project will be assisted with master student.

20

Biomimetic porosity of Hydroxyapatite (HA)-gelatin scaffold on bone tissue engineering

The major components of bone tissue engineering are the scaffold, cells, and growth factors. This review will focus on the scaffold and recent advancements in developing scaffolds that can mimic the natural extracellular matrix of bone. The scopes of this project to develop three dimensional Hydroxyapatite(HA)-gelatin scaffold via a certain mould. To build the scaffold different types of porosity are considered by different amount of solution used. The scaffolds then are mechanically (tensile strength, compression and hardness) tested to acquire the variety of scaffold porosity to support the cell growth.

21

Circle Detection using Hough Transform

Objective of this project is to develop a system that can detect a circular object using Hough Transform Method. One possible application is to count numbers of bacteria colonies (i.e. round shape). The system will be implemented using Borland C++ Builder/Visual C++. A brief introduction class to familiarize the platform will be arranged. However, a good background of computer programming knowledge are required.

22

Classification of Ankle Foot Dorsiflexion or Plantarflexion Movement using Surface Electromyography (sEMG)

Active Ankle Foot Orthoses are orthotic devices intended to support or to restore the motions of the complex ankle foot in stroke patients. Drop foot is the common condition among the stroke patients, where the lower extremity muscles of patients lose the control of ankle joint, which makes foot to slap and drag during gait cycle, resulting in general discomfort. The two major complications of drop foot are slapping of the foot after heel strike (foot slap) and dragging the toe during swing (toe drag). At heel strike, the foot generally falls uncontrolled to ground, producing a distinctive slapping noise. An ankle foot orthotic device has been developed which involves artificial pneumatic muscles which in turn are controlled by computer controlled air pressure based on acquired EMG signals.

In this project, sEMG based classification of ankle foot dorsiflexion and plantarflexion movements. Standard experimental procedures are to be developed to record the sEMG signals during dorsiflexion and plantarflexion movements of ankle foot. Suitable signal processing algorithms will be developed to discover the differences in sEMG signals between dorsiflexion and plantarflexion movements of ankle foot. Suitable classifiers will be developed to classify the recorded sEMG signals into dorsiflexion or plantarflexion movements of ankle foot. The proposed method can be used as the control of ankle foot orthosis using sEMG signals.

23

Classification of Brain Tumor using Artificial Neural Network

Brain tumor seems to be the common cause of death among people throughout the world. Early detection of brain tumor can increase the chance of survival among people. But, problem seemed to merge due to time constraint in detecting the present of tumor regarding on the several diagnosing method used. Hence, this project is aimed to propose a Computer Aided Diagnosis (CAD) system using Artificial Neural Network (ANN) to classify the brain tumor in MRI images. In this project, MATLAB will be used through every procedures made. These includes, image processing, feature extraction and classification using ANN. In image processing procedures, process such as image re-processing, segmentation, nodule detection, and feature extraction will be performed.

24

Classification of ECG Signal Abnormalities Using Dynamic Time Warping

Objective of this project is to develop a system that can automatically detect and classify abnormal heart contractions using Dynamic Time Warping method. The system will be implemented using Borland C++ Builder/Visual C++. A brief introduction class to familiarize the platform will be arranged. However, a good background of computer programming knowledge are required.

25

Classification of Lifting Postures using Motion Analysis

Human postures classification is widely used in image processing while executing the characteristics of postures especially in gait analysis, lifting activity and others application. There are two major approaches in study of human tracking for lifting postures such as video recording and motion capture or motion analysis. In this project, motion analysis will be used to acquire the biomechanical data and later use to classify lifting postures using artificial intelligent (ANN). This classification will be helpful in determining the posture of subjects that are resulted from the lifting task.

26

Comparative study of microwave dielectric spectroscopy technique and Brixmeter in determining sugar content of syrup

Humans most commonly use sugar for altering the flavor and properties of beverages and food. The main component in sugar is glucose. Sugar and the sweetness of fruit have components that become glucose. The glucose in sugar for human body is important. Glucose is our energy. It keeps our body sustaining a regular temperature. Our brain thinks using glucose. If a person continues to take in refined sugar on a daily basis, the body will need to start getting its calcium from the teeth and bones, leading to weakening. The other problem is that sugar is stored in the liver as glycogen, and the liver can only hold a limited amount. When the person continue to ingest refined sugar in large quantity, eventually somewhere else has to be found to store it. The liver releases the glycogen to the blood-stream, in the form of fatty acids. The blood takes these fatty acids and stores them in various parts of the body - the belly, the buttocks, the breasts, and the thighs.

Now, when a woman hits the menopause, she is at increased risk of osteoporosis (bone thinning), and tends to put on weight. The excessive of sugar consumption, which is bad at any time of life, is even worse for the menopausal woman. It seems that the sugar intake cannot be over. Therefore, it has a need to develop a accurate and rapid detection system for sugar/sweetener

To develop this measurement system, a sensor is needed for sugar detection.

Currently, sugar content in beverage or food is measured by sensory and chemical analyses. The sensory analysis mainly detects viscosity, smell, flavor and crystallization. The accuracy of this method is limited and usually is influenced by sensory panelists and their experiences. The chemical analysis mainly includes chromatography, optical analysis, electroanalytical methods and mass spectrometry. Expensive instruments, complicated procedures and process time make chemical analysis impractical in the industry. Therefore, the development of a simple and rapid of sugar content sensing system is needed. Anyway, a commercial sugar detection device, i.e. Brixmeter is used in this project too for comparison.

27

Correlation between footwear and floor surfaces in preventing ankle injury during jumping

Footwear consists of garments worn on the feet, for fashion, protection against the environment, and adornment. Design of footwear is different depending on the types of the floor surface in order to prevent from common leg injuries. This project requires student to design the footwear in SolidWork and analysis the design in FEA software.

28

Correlation between footwear and floor surfaces in preventing knee injury during running

Footwear consists of garments worn on the feet, for fashion, protection against the environment, and adornment. Design of footwear is different depending on the types of the floor surface in order to prevent from common leg injuries. This project requires student to design the footwear in SolidWork and analysis the design in FEA software.

29

Correlation between Position of Hand Kicking Target and Karate Do Practitioner’s Height

In turning kick training for karate do practitioners, the position of hand kicking target is very important as in can avoid injuries. Conventional method use human to hold the hand kicking target, however he/she cannot define the appropriate height should be place for a specific karate do practitioner. This study try to come out with a relationship between position of hand kicking target and karate do practitioner’s height.

Requirement: Motion analysis system, Statistic tools.

30

Design and Development of a Force Measuring Device for Push and Pull Exercises for Lower Body Extremity in Rehabilitation Therapy

Push and pull exercises are common in rehabilitation therapy for post stroke patients. Designing and developing this device requires student to know the principles and specifications of the device. Initial stage is to complete the design in SolidWork.   Electronic and mechanical engineering knowledge is combined in order to develop the prototype.   Identification of suitable sensor and construction of an electronic circuit are required to translate the force (N) into numbers.  

31

Design and Development of a Force Measuring Device for Push and Pull Exercises for Upper Body Extremity in Rehabilitation Therapy

Push and pull exercises are common in rehabilitation therapy for post stroke patients. Designing and developing this device requires student to know the principles and specifications of it. Initial stage is to complete the design in SolidWork. Electronic and mechanical engineering knowledge is combined in order to develop the prototype. Identification of suitable sensor and construction of an electronic circuit are required to translate the force (N) into numbers.  

32

Design and Development of an Automated Bacteria Colony Size Counting using Vision

This project is aimed to develop an automated system to count the bacteria colony size using image processing method. Because of the small size of the bacteria, counting the number of bacteria colony in a sample can be very difficult. Although direct counts are possible with a microscope, they require a lot of time and expertise. An easier method is proposed where the image of bacteria in agar plates is captured from a microscope and then, will be interfaced with a computer. A software package that will be able to count the bacteria colonies automatically from agar plates images will be developed. The obtained values are displayed in a "Results" table and can be saved in *.xls file format.

33

Design and Development of Automated Hypertension Diagnosis Kit

Hypertension diseases are the most common diseases in Malaysia and the rate of hypertension is increasing yearly. From the Malaysia Health Databank 2011, there are total 26 998 new cases of hypertension diseases till the year of 2010. 219 of citizens are died from hypertension. Normally, the diagnosis was done by medical practitioner such as nurse or doctor. Furthermore, in order to diagnose a hypertension disease, a person must travel far away from home to get the clinical diagnosis. It is a waste of time. Hence, this project is aimed to design and develop an automated hypertension diagnosis kit which is low cost, portable and easy to use. This diagnosis kit will be interfaced with a computer where the blood pressure and heart rate data can be stored automatically. A web assessment can be integrated into this software prototype. A database server can be design and doctor can know the health condition of patient easily by browsing the server. Patient history can be viewed by medical practitioners for ease of diagnosing. User can update his or her condition when it is necessary. Through the internet access, doctor, patient and pharmacist are connected. Doctor can give medicine prescription to pharmacist according to the current hypertension condition of patient; the medicine will be delivered to patient after patient make the online payment. The proposed project will ease both patients and doctors job.

34

Design and development of low-cost PC based oscilloscope

PC based oscilloscope is an intelligent system that mimics the behavior of a desktop oscilloscope. With the advent of technology in ADC chips, it is possible to implement a portable and low cost oscilloscope. The objective of this project is to design and develop a system that will be interfaced to a PC through a suitable Graphical User Interface (GUI). A suitable electronic circuit will be designed and fabricated for this purpose. The end product will be a small device capable of measuring and displaying electrical signals of simple parameters.

35

Design and development of portable EMG acquisition system

Electromyography (EMG) is the study of muscles from biopotential signals. There are many instances when the behavior of muscles needs to be analyzed for various diagnostic purposes. In this project, a low-cost and reliable EMG acquisition system will be designed and developed. A suitable electronic circuit will be designed and fabricated for this purpose. This circuit will be interfaced to a PC through a suitable Graphical User Interface (GUI). The end product will be a small device capable of measuring signals arising from muscle activity.

36

Design and development of portable MMG acquisition system

Mechanomyography (MMG) is the study of muscles from vibration signals. There are many instances when the behavior of muscles needs to be analyzed for various diagnostic purposes. In this project, a low-cost and reliable MMG acquisition system will be designed and developed. A suitable electronic circuit will be designed and fabricated for this purpose. This circuit will be interfaced to a PC through a suitable Graphical User Interface (GUI). The end product will be a small device capable of measuring mechanical vibrations arising from muscle activity.

37

Design of ECG Signal Acquisition System for Sudden Cardiac Arrest Prediction (Hardware)

Cardiovascular diseases are one of the common diseases on today and are crucial for doctors as they have to treat such patients with utmost care. They include chronic diseases related to heart malfunctioning, high blood pressure, Sudden Cardiac Death (SCD), diabetes, kidney and liver problems. SCD is one of the great concern, as the heart ceases to circulate the blood normally and challenging to the doctors. SCD is defined as a catastrophic disruption of the heart rhythm which stops the blood from flowing to the brain and other vital organs [1]. Major reasons for SCD are regular smoking, drinking alcohol, diabetes, overweight, stress, cholesterol, or a genetic background [2]. Although SCD may occur in healthy looking people, most victims are found to have heart disease or other health problems without being aware of it. Several researches are reported that linear and nonlinear deterministic methods can be used as diagnostic and prognostic tools to determine the state of health of cardiac arrhythmia [4]. Many of the existing methods for detecting and quantifying chaotic dynamics give erroneous results when applied to actual clinical data [3, 4]. The research may also be advanced to know if the probability of occurrence of SCD in the future (after some (e.g. 5) years) may be predicted now itself. This project is proposed to design offline analysis of ECG signals for SCD prediction. This system has three important modules such as: ECG Acquisition, SCD detection and SCD prediction. There are two databases involved in this work: (i) MIT/BIH databases (ii) our own database. The online system has been developed by using ECG sensor array, National Instruments (NI) Data acquisition card, a notebook and Labview and MATLAB software's. To study the characteristics pattern of ECG signals for normal and abnormal (SCD) patients through statistical learning techniques. This project aims to develop a robust feature extraction algorithm using linear (Generalized Pan-Tompkins algorithm (GPT)) and non-linear (Empirical Mode Decomposition (EMD)) methods from ECG signal for early prediction of SCD. The analyzed data will be used to define biological markers that can predict Sudden Cardiac Death.

38

Design of Intelligent Neuro-Marketting System using Wireless EEG Signals in Linear and Non-Linear Signal Processing Approach

Manufacturers of several products in the world are highly depends on marketting their products through advertisements in internet, posters, television, radio etc. However, the above conventional marketting techniques require more amount of investment in money and require huge human resources for marketting their products. Perhaps, the manufacturer’s could not satisfy the consumer demands at most of the time and the products are not succeeded. Hence, in most of the devleoping countries such as USA, UK, Australia, etc are now focusing on marketting their products through neuro-marketting system. In simple, the manufacturers first develop a product advertisment through video clips and shown to different types of consumers which are based on gender, race, religion, etc and evaluate their emotional experimence during the advertisement through EEG signals. If the people are feeling more happy and suprise during the video clip means, then they will lanch the product in to the market else they go for refining their product. In general, the emotions of the consumer is play a major role on deciding the matketting efficiency of the product. In this project, we aims to collect the video clips (product advertisements) on different emotions such as happy, sad, surprise, fear, anger, disgust and neutral and evaluate the consumer emotional state changes through wireless EEG signals using signal processing approach.

39

Design of Optimization Algorithm for Facial Markers in Emotion Detection

Human perceiving the emotions of fellow human is natural and inherently accurate.   Human can express his/her inner state of mind through emotion. Many times, emotion indicates that a human needs help. Computer recognising emotion is an important research in Human Computer Interfacing (HCI). This HCI can be a welcoming method for totally physically disabled to the neck and dumb patients who are confined to bed in informing others for help. In general, human emotions can be recognizied through facial expressions, physiological signals, gestures, and speech. Facial expression based emotion recognition is universal method. In last few decades, the researchers have estimated the emotions of the subject through facial action units (FAU). The FAUs are basically small luminous stickers (or markers) that are manually fixed at several locations on a human face. Changes in emotions create facial reactions which modify the positions of markers in time domain. The marker positions are video captured and the time responses of markers are studied and co-related with every emotion. But, this method is more intrusive and not comfortable for the subjects. Hence, this project is aim to use dynamic marker placement system for detecting the six basic emotions (happy, sad, surprise, disgust, angry and fear) through optical flow algorithm (OFA). The placement of markers is based on a Facial Action Coding System (FACS). In this work, we aim to follow up with the given futures: (i) the physical sticking of markers and a video system are inconvenient. Creation of Virtual markers on the face in an alternative and challenging approach. This will be undertaken in this project. (ii) a new real time algorithm is to be developed for recognising human emotions using optical flow algorithm.

40

Development of a microcontroller-based for ECG Monitoring system

Objective of this project is to develop a microcontroller-based system that can acquire and record ECG (Electrocardiography) signals in order to identify irregular heart beat signals.

This Project will involved the development of hardware and software of the system.

Hardware: Construct circuit to amplify and filter the ECG signals before it is further processed by a microcontroller.

Software: Develop a simple system that can record ECG data acquired from microcontroller, and identify irregular heart beat signal.

41

Development of Cellular Neural Network Algorithm for Breast Lesion Detection

This project is aimed to develop an efficient segmentation algorithm for extracting breast lesion in mammographic images using Cellular Neural Networks (CNN). Learning CNN templates will be designed in order to detect the existence of breast cancer. The developed algorithm is applied on real data of mammographic images with different types of breast lesion. The results are compared with radiologist labeled ground truth to confirm the effectiveness of this method.

42

Development of conductive polymer using carbon filler

Tactile sensor is becoming more important in both robotic and prosthetic applications. The ultimate aim in development of tactile sensor is to replicate the function of the human mechanoreceptors, as well as having the ability to conform to its handled object and crushing the object especially in robotic applications. Conductive polymer offers an advantage in terms of conformity and compliancy. Knowing that both silicone rubber and elastomer have the mechanical characteristics close to the human skin, these two materials can be easily doped with carbon filler and hence makes the silicone rubber or elastomer conductive.

43

Development of conductive polymer using metal filler

Tactile sensor is becoming more important in both robotic and prosthetic applications. The ultimate aim in development of tactile sensor is to replicate the function of the human mechanoreceptors, as well as having the ability to conform to its handled object and crushing the object especially in robotic applications. Conductive polymer offers an advantage in terms of conformity and compliancy. Knowing that both silicone rubber and elastomer have the mechanical characteristics close to the human skin, these two materials can be easily doped with metal filler and hence makes the silicone rubber or elastomer conductive.

44

Development of Dynamic Facial Marker Placement and Particle Swarm Optimization based Tracking for Emotion Detection (Software)

Human perceiving the emotions of fellow human is natural and inherently accurate.   Human can express his/her inner state of mind through emotion. Many times, emotion indicates that a human needs help. Computer recognising emotion is an important research in Human Computer Interfacing (HCI). This HCI can be a welcoming method for totally physically disabled to the neck and dumb patients who are confined to bed in informing others for help. In general, human emotions can be recognizied through facial expressions, physiological signals, gestures, and speech. Facial expression based emotion recognition is universal method. In last few decades, the researchers have estimated the emotions of the subject through facial action units (FAU). The FAUs are basically small luminous stickers (or markers) that are manually fixed at several locations on a human face. Changes in emotions create facial reactions which modify the positions of markers in time domain. The marker positions are video captured and the time responses of markers are studied and co-related with every emotion. But, this method is more intrusive and not comfortable for the subjects. Hence, this project is aim to use dynamic marker placement system for detecting the six basic emotions (happy, sad, surprise, disgust, angry and fear) through optical flow algorithm (OFA). The placement of markers is based on a Facial Action Coding System (FACS). In this work, we aim to follow up with the given futures: (i) the physical sticking of markers and a video system are inconvenient. Creation of Virtual markers on the face in an alternative and challenging approach. This will be undertaken in this project. (ii) a new real time algorithm is to be developed for recognising human emotions using optical flow algorithm.

45

Development of electronic goniometer related to knee joint problem

A goniometer is an instrument that either measures an angle or allows an object to be rotated to a precise angular position. It is an instrument which measures an axis and range of motion. If a patient or client experiences decreased range of motion in a joint (e.g. a knee or elbow), the therapist can use a goniometer to assess what the range of motion is prior to intervention, and then make sure the intervention is working by using the goniometer in subsequent interventions. Electrogoniometer is sometimes refer to an electrical potentiometer that can be used to measure joint angles.

46

Development of EMG Simultaneous Sampling Data Acquisition Device

Conventional data acquisition device involve the use of multiplexer to sample signal source from a number of channel and direct it to one single channel. However, in certain application, it is required to sample signal of multi-channels at the same time where even a slight delay could not be compromised.

In EMG for example, there is an issue on crosstalk between adjacent electrodes where signal from one electrode could contain information coming from nearby muscle. This could be overcome by implementing adaptive filtering or using independent component analysis to filter out the EMG signal due to crosstalk. In order to perform the crosstalk filtering, the signals from different electrodes need to be sampled at the same time. So, the idea of this project is to provide a data acquisition device for that purpose.

47

Development of equinometer to measure dorsi and plantarflexion

Equinus contracture is a term used to describe a limitation in the upwards ankle motion, specifically the inability for the ankle to be brought past a neutral position (right angle to the shin bone). A device should   be designed and developed to measure ankle dorsi/plantarflexion.

48

Development of Fuzzy Expert System for Diagnosis of Diabetics

Nowadays, diabetes is one of the high risk diseases that arise day by day. Almost people do not much care to see the physician to check their healthy level if they feel nothing abnormal happened at their body. Diabetes will become worst if the person with diabetes do not get any treatment from physician. At the critical level, diabetes will cause of blindness, kidney failure, increase the risk of heart disease, foot wounds and ulcer which lead to foot and leg amputations. Although, there are some other factors that make people do not want to see the physician if they not really sick. One of the factors is, most of us do not comfortable traveling to hospitals to see the physician. Hopefully, today's technology will reduce the number of diabetes case arises and can ease the user to check whether they have a risk in getting diabetes or not. At the same time, it will make user alert with their healthy level. Thus, the user can see the physician for further treatment if they are in high risk getting diabetes. This project is aimed to offer references for user before seeing the physician. The references offered such as the types of the diabetes disease, the risk factors that contribute probability getting diabetes, the symptoms of diabetes disease and also the complication of diabetes disease. This project is proposed to develop a fuzzy expert system that will estimate the risk in getting diabetes based on the risk factors and the symptoms.

49

Development of Hardware and GUI for a Stereo Electronic Stethoscope

Stethoscope is a medical device that is used to listen to the internal sound inside human body particularly from the heart and lungs. Conventional stethoscope that is used by medical practitioners is called acoustic stethoscope. It works by transmitting acoustic pressure from a diaphragm through a tube filled with air. The diaphragm vibrates as it is in contact with patient’s body part and the internal sound from patient’s body could be heard by user.

 

As for electronic stethoscope, the sound form the internal body is in form of electrical signal picked up by sound sensor or microphone. Then, this device will be connected to the microphone input of a PC where the sound wave in form of electrical signal could be analyzed using signal processing tools and can also be converted back to sound. Reason for having two channels is because the PC provides stereo microphone input. Thus there will be two channels that are ‘left’ and ‘right’.  

50

Development of imaging system/device for vein thrombophlebitis (blood clot) using temperature array sensors

Vein thrombophlebitis is a risk factors include disorders related to increased tendency for blood clotting, injury to vein wall and reduced speed of blood in the veins such as varices and prolonged immobility. Prolonged traveling by car or airplane may promote a blood clot leading to thrombophlebitis but this occurs relatively rarely. Specific disorders associated with thrombophlebitis include superficial thrombophlebitis (affects veins near the skin surface) and deep venous thrombosis (affects deeper, larger veins). The health care provider makes the diagnosis primarily based on the appearance of the affected area. Frequent checks of the pulse, blood pressure, temperature, skin condition, and circulation may be required.

51

Development of instrumentation for tactile array

Instrumentation is an important component in tactile sensing system, and becoming an issue if the sensing system has more than one sensor. Multiple sensors require bigger number of instrumentation hence results in massive and complex instrumentation. Common instrumentation used in sensor applied system is Wheatstone bridge, and for multiple sensors a system will required multiple units of Wheatstone bridge as it instrumentation, accordingly. Therefore, for array of tactile sensor, massive electronics will become major hurdle in terms of practicality and furthermore Wheatstone bridge has serious issue with electronics heating.

52

Development of Intelligent Neuro-Marketting System using Wireless EEG Signals in Artificial Intelligent Methods

Manufacturers of several products in the world are highly depends on marketting their products through advertisements in internet, posters, television, radio etc. However, the above conventional marketting techniques require more amount of investment in money and require huge human resources for marketting their products. Perhaps, the manufacturer’s could not satisfy the consumer demands at most of the time and the products are not succeeded. Hence, in most of the devleoping countries such as USA, UK, Australia, etc are now focusing on marketting their products through neuro-marketting system. In simple, the manufacturers first develop a product advertisment through video clips and shown to different types of consumers which are based on gender, race, religion, etc and evaluate their emotional experimence during the advertisement through EEG signals. If the people are feeling more happy and suprise during the video clip means, then they will lanch the product in to the market else they go for refining their product. In general, the emotions of the consumer is play a major role on deciding the matketting efficiency of the product. In this project, we aims to collect the video clips (product advertisements) on different emotions such as happy, sad, surprise, fear, anger, disgust and neutral and evaluate the consumer emotional state changes through wireless EEG signals using signal processing approach.

53

Development of knee sound signal device system for detection of knee joint problem

Sounds generated due to rubbing of knee-joint surfaces may be a potential tool for noninvasively assessing articular cartilage degeneration. Knee arthritis represents a major crippling disorder affecting a significant fraction of the population. Consequently, proper   detection and management of the disease is important from a clinical point of view. Detection of knee joint disorders is usually based on the patient’s report of joint pain and stiffness. Direct methods of assessment of damage to articular cartilage include   arthroscopy and arthrography. These methods are invasive, costly, and can be complicated by infection and potential additional injury to the joint cartilages.   Noninvasive diagnostic techniques include passive and active range of movement assessment, ultrasonography, scintigraphy, routine and computerized radiologic scans, and   magnetic resonance imaging.

54

Development of low-cost open-ended coaxial sensor for sugar content detection in syrup

Humans most commonly use sugar for altering the flavor and properties of beverages and food. The main component in sugar is glucose. Sugar and the sweetness of fruit have components that become glucose. The glucose in sugar for human body is important. Glucose is our energy. It keeps our body sustaining a regular temperature. Our brain thinks using glucose. If a person continues to take in refined sugar on a daily basis, the body will need to start getting its calcium from the teeth and bones, leading to weakening. The other problem is that sugar is stored in the liver as glycogen, and the liver can only hold a limited amount. When the person continue to ingest refined sugar in large quantity, eventually somewhere else has to be found to store it. The liver releases the glycogen to the blood-stream, in the form of fatty acids. The blood takes these fatty acids and stores them in various parts of the body - the belly, the buttocks, the breasts, and the thighs.

Now, when a woman hits the menopause, she is at increased risk of osteoporosis (bone thinning), and tends to put on weight. The excessive of sugar consumption, which is bad at any time of life, is even worse for the menopausal woman. It seems that the sugar intake cannot be over. Therefore, it has a need to develop a accurate and rapid detection system for sugar/sweetener

To develop this measurement system, a sensor is needed for sugar detection.

Currently, sugar content in beverage or food is measured by sensory and chemical analyses. The sensory analysis mainly detects viscosity, smell, flavor and crystallization. The accuracy of this method is limited and usually is influenced by sensory panelists and their experiences. The chemical analysis mainly includes chromatography, optical analysis, electroanalytical methods and mass spectrometry. Expensive instruments, complicated procedures and process time make chemical analysis impractical in the industry. Therefore, the development of a simple and rapid of sugar content sensing system is needed. To fabricate the sensor, semi-rigid coaxial cable is used in fabrication. The main idea for this sugar content measurement is the microwave reflection. The dissolve sugar will be in the ionic state. The presence of ion in a material will change the dielectric property. The variation of dielectric property will cause the variation amount of reflected wave.

55

Development of microstrip patch sensor for salinity detection

Salt is one of our essential food seasonings. Salt is the common name for sodium chloride. It is the sodium component of salt that is important. Sodium helps to maintain the concentration of body fluids at correct levels. Salt contains about 40 per cent sodium. Salt is an important element in food seasoning or preservation. In food industry, there are standard of salt quantity which they should be followed. However, there are some food industries try to cheat the consumer about the salt quantity in their food product. Eating too much salt may cause health problem such as blood pressure, kidney stone etc. So, it is important to develop a measurement device to check the salinity of food and also fit to measure the blood salinity of human. To measure salinity, samples of saline water are taken. To develop this measurement device, a sensor is needed for salinity detection. To fabricate the microstrip sensor, the substrate RT-Duroid is used to fabricate it. The main idea for this water salinity measurement is the microwave reflection. The dissolve salt will be in the ionic state. The presence of ion in a material will change the dielectric property. The variation of dielectric property will cause the variation amount of reflected wave.

56

Development of microstrip U-shape transmission sensor for salinity detection

Salt is one of our essential food seasonings. Salt is the common name for sodium chloride. It is the sodium component of salt that is important. Sodium helps to maintain the concentration of body fluids at correct levels. Salt contains about 40 per cent sodium. Salt is an important element in food seasoning or preservation. In food industry, there are standard of salt quantity which they should be followed. However, there are some food industries try to cheat the consumer about the salt quantity in their food product. Eating too much salt may cause health problem such as blood pressure, kidney stone etc. So, it is important to develop a measurement device to check the salinity of food and also fit to measure the blood salinity of human. To measure salinity, samples of saline water are taken. To develop this measurement device, a sensor is needed for salinity detection. To fabricate the microstrip U-shape transmission sensor, the substrate RT-Duroid is used to fabricate it. Before the sensor is fabricated, the software CST-Studio will be utilized in simulation and sensor design. It can help to figure out its optimum dimension for our desired performance and specification. The main idea for this water salinity measurement is the microwave attenuation. The dissolve salt will be in the ionic state. The presence of ion in a material will change the dielectric property and tends to draw microwave energy from the sensor. Thus, the dielectric property can be deduced from the transmission coefficient. The variation of dielectric property will cause the variation amount of transmitted wave.

57

Development of microwave dielectric sensing system for animal fat

Requirement of halal food assurance increases with the rise physically and spiritually live style. Halal and food safety is global requirement. Halal food is free from compound that Muslim forbidden to eat. Lard adulteration in foods are seriously problem for religion that forbidden [2] and conducted by healthy reason.

Halal food assurance in the whole of supply chain is needed in production, distribution, and certification control. Hence, developments of detection method of lard adulteration in product are become urgent. However, most of these measurements are expensive and time consuming.

Detection technique based on electrical properties was developed for detection injury of beef meat and edible fat adulteration. These techniques measure electrical properties of material to estimate quality and adulteration of material.

The electrical properties of food depend on their chemical composition, the current parameter of measurement and experimental condition. If current parameter is constant, the electrical properties will depend mainly on component of material. In this work, the investigation of lard detection through dielectric measurement is conducted.

Gelatin (or gelatine) is commonly used to make the pharmaceuticals capsule. Gelatin typically constitutes the shells of pharmaceutical capsules in order to make them easier to swallow. It is derived from the collagen mainly inside pig skin and lard. However, some other animal fat and skin are used to manufacture the capcule too. In this work, various type of skin and animal fat will measure dielectrically to distinguish them for development of detection system.

58

Development of multi parameter gait analysis device

There are an increasing number of people who suffer from gait disorders. Abnormal patterns of gait can result from genetic anomalies, trauma, chronic and degenerative disease or aging. The purpose of rehabilitation is to reduce instability and facilitate normal, effective and efficient patterns of gait to avoid obstacles, change direction and prevent falling.

To develop a device to monitor gait and measure the parameters data for further analysis such as rehabilitation and diagnosis.

59

Development of non-invasive blood glucose measurement based on bioelectrical impedance

Plethysmography can be used to measure arterial volume change that occurs with propagation of the blood pressure pulse in a limb segment. In fact, the changes of arterial volume give effects to the blood resistivity or impedance value. The project is purposed to measure blood resistivity in-vitro which is non-invasively without need to draw out blood from human body.The measuring system which is Plethysmograph, is using four electrode measurement method. This device should be able to detect the electrical potential (voltage) change across the finger so that the change in resistance can be determined. It should be able to detect the velocity-dependent change in blood resistivity due to arterial blood pulsations. The Signal from four electrode measurement will be conditioning first before feed to the processing level. Output of blood resistivity value will be display on LabVIEW virtual software. To understand the glucose in blood value by getting a correlation in terms of blood resistivity determines by the potential voltage occurs on the measurement. The understandings of this correlation can be made by measuring a person blood resistivity before and after having a meal. Hence, understanding this correlation of blood resistivity upon changes of blood glucose level may lead a future of non-invasive measurement for diabetic application.

60

Development of portable microwave detection system for salinity detection using power sensor and open-ended coaxial sensor

Salt is one of our essential food seasonings. Salt is the common name for sodium chloride. It is the sodium component of salt that is important. Sodium helps to maintain the concentration of body fluids at correct levels. Salt contains about 40 per cent sodium. Salt is an important element in food seasoning or preservation. In food industry, there are standard of salt quantity which they should be followed. However, there are some food industries try to cheat the consumer about the salt quantity in their food product. Eating too much salt may cause health problem such as blood pressure, kidney stone etc. So, it is important to develop a measurement device to check the salinity of food and also fit to measure the blood salinity of human. To measure salinity, samples of saline water are taken. To develop this measurement device, a sensor is needed for salinity detection. To develop this portable detection system, the microwave source (signal generator), directional coupler, power sensor and open-ended coaxial sensors are used. The low-cost open-ended coaxial sensor made of SMA stub is designed. The main idea for this water salinity measurement is the microwave reflection. The dissolve salt will be in the ionic state. The presence of ion in a material will change the dielectric property. Thus, the dielectric property can be deduced from the reflection coefficient. The variation of dielectric property will cause the variation amount of reflected wave.

61

Development of precise bio-amplifier circuits for measuring EEG,ECG and EMG signal

A Bioamplifier is a device used to gather and increase the signal integrity of human neurophysiologic electrical activity for output to various sources. The bio-amplifier should have a precise gain, wide range of frequency, efficiency, linearity, noise immunity and etc in order to get a correct bio electrical measurement for medical application.

62

Development of Regression Model for Lifting Task using Biomechanic Data

Lifting task can cause overexertion injuries, if workers are not applying good technique. One of the injuries that related to lifting task is back pain. Mostly due to poor movement patterns during bending of the trunks. In this project, motion analysis will be used to acquire the biomechanic data which involves in lifting task. A regression model will be developed to represent the data in mathematical equation form. This model will be helpful in many applications especially in physical stress analysis.

63

Development of tactile sensor using wire mesh approach

Tactile sensor is becoming more important in both robotic and prosthetic applications. The ultimate aim in development of tactile sensor is to replicate the function of the human mechanoreceptors, as well as having the spatial resolution of the human. Therefore this study will investigate the possibility to develop a tactile sensor using wire mesh approach to attain the spatial resolution and performance close to the human mechanoreceptors in the human glabrous skin. This will result in low cost tactile sensor, yet able to produce result comparable to commercial tactile sensor.

64

Dye detector of ripple mattress leakage

Ripple Mattress is a special air mattress that comes with alternating special pump. When in use, different segments of the mattress are repeatedly inflated and deflated to vary the positions where is applied to the skin. This helps relieve the discomfort of being bedridden and preventing pressure sore. Currently the problem of leakage cannot be detected quickly that takes about 5 days to seek the problem even though the pressure is placed on top the mattress. Objective of this project is to add a detector to detect the leakage through a dye flowing out with gases from the valve in the pump and significantly can reduce the time within 5 minute to detect the leakage in ripple mattress.

65

ECG Signal Based Emotional Stress Assessment in Audio-Visual Environment

Human emotions and stress are mostly inter-related factors and emotions can be broadly categorized into positive emotions (happy, surprise) and negative emotions (sad, anger, fear and disgust). According to the basic literature's on psychology and psycho-physiology, the continus impact of negative emotions will induce a enoronmous amount of stress inside the human and this stress is called as emotional stress. Based on this theoritical background, this project is aim to find out the correlation between emotional stress through a efficient statistical modelling approach. According to the recent statistics, emotional stress is one of the major reason for several emotional disorders, anexity disorder, and tendency for suicidal attempts. This project is aim to develop a statistical model to find the correlation between emotions and stress to identify the effect of emotional stress and to measure its level through signal processing algorithms. Audio-visual stimuli (video clips) are used to induce the emotional stress to develop a high quality database by considering several kind of subjects with different age, gender, race and religion. Based on the previous work, we will acquire Electrocardiogram (ECG) and Electromyogram (EMG) signals using wired sensors. Acquired signals are preprocessed using digital filters and statistical features are derived from the signals using Lifitig Wavelet Transform (LWT). These resultant features then mapped to different emotional stress level using Sparse Componenet Analysis (SPA) and Particle Swarm Optimization (PSO) methods. These methods are proven to be a powerful tool in feature mapping and statistical modelling in recent days.

66

ECG Signal Based Sudden Cardiac Arrest Prediction System (Software)

Cardiovascular diseases are one of the common diseases on today and are crucial for doctors as they have to treat such patients with utmost care. They include chronic diseases related to heart malfunctioning, high blood pressure, Sudden Cardiac Death (SCD), diabetes, kidney and liver problems. SCD is one of the great concern, as the heart ceases to circulate the blood normally and challenging to the doctors. SCD is defined as a catastrophic disruption of the heart rhythm which stops the blood from flowing to the brain and other vital organs [1]. Major reasons for SCD are regular smoking, drinking alcohol, diabetes, overweight, stress, cholesterol, or a genetic background [2]. Although SCD may occur in healthy looking people, most victims are found to have heart disease or other health problems without being aware of it. Several researches are reported that linear and nonlinear deterministic methods can be used as diagnostic and prognostic tools to determine the state of health of cardiac arrhythmia [4]. Many of the existing methods for detecting and quantifying chaotic dynamics give erroneous results when applied to actual clinical data [3, 4]. The research may also be advanced to know if the probability of occurrence of SCD in the future (after some (e.g. 5) years) may be predicted now itself. This project is proposed to design offline analysis of ECG signals for SCD prediction. This system has three important modules such as: ECG Acquisition, SCD detection and SCD prediction. There are two databases involved in this work: (i) MIT/BIH databases (ii) our own database. The online system has been developed by using ECG sensor array, National Instruments (NI) Data acquisition card, a notebook and Labview and MATLAB software's. To study the characteristics pattern of ECG signals for normal and abnormal (SCD) patients through statistical learning techniques. This project aims to develop a robust feature extraction algorithm using linear (Generalized Pan-Tompkins algorithm (GPT)) and non-linear (Empirical Mode Decomposition (EMD)) methods from ECG signal for early prediction of SCD. The analyzed data will be used to define biological markers that can predict Sudden Cardiac Death.

67

Effect of distance between athelete and opponent in taekwondo to their front and side kick

Taekwondo combines combat techniques, self-defense, sport, exercise, and in some cases meditation and philosophy. Front kick is a very linear kick. The practitioner raises the knee to the waist, pulls the toes back and quickly extends the foot at the target. This technique is more meant to be used to push the attacker away, but can injure. A side kick is very powerful kick, first the practitioner simultaneously raises the knee and rotates the body 90 degrees, while doing that they extend their leg. But, do we know what is the best distance between the athlete and his/her opponent to get the powerful kick?

68

Effect of Kiai on Opponent’s Concentration during Karate-do Tournament   using EEG Signal

This project is proposed to analyze the effect of Kiai (shouting) on opponent’s concentration during Karate-do Tournament. The EEG signal is acquired and the Kiai effect on opponent’s concentration will be analyzed. Signal processing methods will be adopted in order to extract and classify the signal. This project will be implemented using Borland C++/Visual C++ builder. A brief introduction class to familiarize this platform will be arranged. However, student needs to have a good knowledge in C programming.

69

Effect of Spring Constant during Dynamic Tip to Tip Pinch Activity

This study want to find the relationship between spring constant and muscle activity during dynamic tip to tip pinch activity. Currently, conventional apparatus use in measuring pinch force uses the principal of static force. This contradicts with the fact that during daily live, dynamic force is the one that occurs during pinch activity due to the stiffness of an object.

Requirement: EMG (Delsys / AD Instrument), Matlab, Design.

70

Effectiveness of shooting position/techniques for basketball

Basketball has evolved many commonly used techniques of shooting, passing, dribbling, and rebounding, as well as specialized player positions and offensive and defensive structures (player positioning) and techniques. Shooting is the act of attempting to score points by throwing the ball through the basket, methods varying with players and situations. The ball is usually shot by jumping and extending the shooting arm. The shooting arm, fully extended with the wrist fully bent is held stationary for a moment following the release of the ball. This project will investigate some of position or techniques to determine the shooting effectiveness. The effectiveness might be covered the foot placement when shooting, body balance and flex before shooting, hand position and release, and the power of controlled legs to shot the ball. The position may involve how to build the distance and consistent points as well as the role of eye focus on basket area.

71

EMG Controlled Prosthetic Device

Certain EMG based human-machine interaction device requires a hardware module for signal conditioning and also for actuator control. The signal conditioning part will consists of amplification and also filtering that involves the use of several electronic components such as instrumentation amplifier and op-amp. For control of actuator, it deals with computer programming to execute an algorithm that links the EMG signal with the control command. Such hardware could be used for control of EMG based prosthetic device.

72

EMG Signal Based Emotional Stress Assessment in Audio-Visual Environment

Human emotions and stress are mostly inter-related factors and emotions can be broadly categorized into positive emotions (happy, surprise) and negative emotions (sad, anger, fear and disgust). According to the basic literature's on psychology and psycho-physiology, the continus impact of negative emotions will induce a enoronmous amount of stress inside the human and this stress is called as emotional stress. Based on this theoritical background, this project is aim to find out the correlation between emotional stress through a efficient statistical modelling approach. According to the recent statistics, emotional stress is one of the major reason for several emotional disorders, anexity disorder, and tendency for suicidal attempts. This project is aim to develop a statistical model to find the correlation between emotions and stress to identify the effect of emotional stress and to measure its level through signal processing algorithms. Audio-visual stimuli (video clips) are used to induce the emotional stress to develop a high quality database by considering several kind of subjects with different age, gender, race and religion. Based on the previous work, we will acquire Electrocardiogram (ECG) and Electromyogram (EMG) signals using wired sensors. Acquired signals are preprocessed using digital filters and statistical features are derived from the signals using Lifitig Wavelet Transform (LWT). These resultant features then mapped to different emotional stress level using Sparse Componenet Analysis (SPA) and Particle Swarm Optimization (PSO) methods. These methods are proven to be a powerful tool in feature mapping and statistical modelling in recent days.

73

Evaluation of different type of shoe insoles (cushioning material) on fatigue during long distance running

Running is a physical activity that helps us to refresh both minds and body. It provides impact forces to the foot which finally promotes the growth of the bone as well as maintaining the bone from deteriorating. Repetitive loading and associated impacts will lead to muscle injuries. Shoe makers had designed soft shoes insole for runners on the assumption that it will reduce impact forces during running. However, the interaction between cushioning materials, impact forces and perceived comfort are still unclear to some of the users. Thus, in this project, we investigate the effect of cushioning materials on impact forces and perceived comfort during long distance running.

74

Evaluation of different type of shoe insoles (cushioning material) on fatigue during long distance running on treadmill

Running is a physical activity that helps us to refresh both minds and body. It provides impact forces to the foot which finally promotes the growth of the bone as well as maintaining the bone from deteriorating. On the other hand, physical fatigue provides an indication that we should not take our body to a certain level that could harm ourselves during running. It also provides a way that our body communicates its condition and level of homeostasis. Despite of its importance, professional runners undergo strength training to improve running power and performance while trying to minimize their physical fatigue. Shoe makers had designed soft shoes insole for runners on the assumption that it will reduce fatigue during running. However, the effects of cushioning materials on runners fatigue are still under debate. Thus, in this project, we investigate the effect of cushioning materials on reducing fatigue during long distance treadmill running.

75

Exudates classification based on Texture for Diabetic Retinopathy

Patients with diabetes need annual screening in order to prevent vision loss or even blindness. Medical imaging can assist ophthalmologists in the examination process by automating the detection of the lesions that appear in the retina. Image processing methods will be adopted in order to classify the lesions. Student needs to study the retinal structure and the abnormalities for Diabetic Retinopathy. This project will be implemented using Borland C++/Visual C++ builder. A brief introduction class to familiarize this platform will be arranged. However, student needs to have a good knowledge in C programming.

76

Foot and ankle kinematics in patients with posterior tibial tendon dysfunction

Dysfunction of the posterior tibial tendon may result in a pathologic flatfoot deformity, and if not appropriately addressed through conservative measures (rest, rehabilitation, and/or bracing), surgical intervention is necessary to correct the resulting deformity and restore function of the limb. The development of quantitative gait analysis has added to the evaluation of musculoskeletal and neurological

77

Human Personality traits in Extraversion and Neuroticism State through motion analysis

Personality is the particular combination of emotional, attitudinal, and behavioral response patterns of an individual. In contemporary psychology, the "Big Five" factors (or Five Factor Model; FFM) of personality are five broad domains or dimensions of personality that are used to describe human personality. Basically, emotional factor can bring different personality traits of individual due to factor such as age, health, environment, family, sex, education, socioeconomic status and others.

 

This project is proposed to investigate the level of human personality in extraversion and neuroticism in human walking. The relationship between human emotional in personality traits will be analyzed based on human movement. The big five questionnaire will be used and the 3d data will be collected using Qualysis Motion Capture Camera to identify level of human personality

78

In Vivo Study of Bacteria Species Detection Method in Diabetic Foot Ulcers using Real Time E-Nose

The rapid method to identify the bacteria species on the infected foot using real time electronic nose is proposed. The diabetic foot infection can spread with alarming rapidity leading to considerable death of tissue (necrosis) and impaired wound healing. There are a few types of bacteria which exist on the diabetic foot ulcers such as Staphylococcus aereus, beta- hemolytic streptococci, Pseudomonas aeruginosa, Escherichia coli and many more. By using the electronic nose (E- nose), the existence of these bacteria can be detected rapidly. The sample handling system ensures that samples are presented to the sensors in a controlled manner. For each of bacteria will emanating their specific volatiles organic compound (VOC) during their metabolism. If the electronic nose can succeed detect the volatiles organic compound (VOC), the existence of the bacteria on the infected diabetic foot can be identified easily and rapidly. In this project, the electronic nose is applied directly to the patients that have diabetic infected foot ulcers (in vivo). Statistical analysis and artificial neural network will be further performed in order to classify the different type of bacteria exist in diabetic foot ulcers.

79

Investigating Emotional Stress Levels in Parkinson Disease People using Wireless EEG Signals in Audio-Visual Environment

Human emotions and stress are mostly inter-related factors and emotions can be broadly categorized into positive emotions (happy, surprise) and negative emotions (sad, anger, fear and disgust). According to the basic literature's on psychology and psycho-physiology, the continus impact of negative emotions will induce a enoronmous amount of stress inside the human and this stress is called as emotional stress. Based on this theoritical background, this project is aim to find out the correlation between emotional stress through a efficient statistical modelling approach. According to the recent statistics, emotional stress is one of the major reason for several emotional disorders, anexity disorder, and tendency for suicidal attempts. Most of the neurological disorder peoples (Parkinson and Stroke) are highly subjected to the effect of emotional stress. They could not communicate their level of emotional stres to the physician for getting a proper medication. Hence, its essential to measure the level of emotional stress on the neurological disorder peoples for giving proper medication by the physician. This project is aim to develop a statistical model to find the correlation between emotions and stress to identify the effect of emotional stress and to measure its level through signal processing algorithms. Audio-visual stimuli (video clips) are used to induce the emotional stress to develop a high quality database by considering several kind of subjects with parkinson and stroke disease. Based on the previous work, we will acquire EEG signals using wireless sensors. Acquired signals are preprocessed using digital filters and statistical features are derived from the signals using Lifitig Wavelet Transform (LWT). These resultant features then mapped to different emotional stress level using artificial intelligent methods. These methods are proven to be a powerful tool in feature mapping and statistical modelling in recent days.

80

Investigating Emotional Stress Levels in Stroke Disease People using Wireless EEG Signals in Audio-Visual Environment

Human emotions and stress are mostly inter-related factors and emotions can be broadly categorized into positive emotions (happy, surprise) and negative emotions (sad, anger, fear and disgust). According to the basic literature's on psychology and psycho-physiology, the continus impact of negative emotions will induce a enoronmous amount of stress inside the human and this stress is called as emotional stress. Based on this theoritical background, this project is aim to find out the correlation between emotional stress through a efficient statistical modelling approach. According to the recent statistics, emotional stress is one of the major reason for several emotional disorders, anexity disorder, and tendency for suicidal attempts. Most of the neurological disorder peoples (Parkinson and Stroke) are highly subjected to the effect of emotional stress. They could not communicate their level of emotional stres to the physician for getting a proper medication. Hence, its essential to measure the level of emotional stress on the neurological disorder peoples for giving proper medication by the physician. This project is aim to develop a statistical model to find the correlation between emotions and stress to identify the effect of emotional stress and to measure its level through signal processing algorithms. Audio-visual stimuli (video clips) are used to induce the emotional stress to develop a high quality database by considering several kind of subjects with parkinson and stroke disease. Based on the previous work, we will acquire EEG signals using wireless sensors. Acquired signals are preprocessed using digital filters and statistical features are derived from the signals using Lifitig Wavelet Transform (LWT). These resultant features then mapped to different emotional stress level using artificial intelligent methods. These methods are proven to be a powerful tool in feature mapping and statistical modelling in recent days.

81

Investigation of vision impairments using full field Visually Evoked Potential responses.

Visually evoked potentials (VEPs) recorded from the scalp provide valuable information about the neural activity associated with visual perception. VEPs are neural objective responses to visual stimuli and it can be used in detecting certain ocular diseases as an objective diagnosis method. The project is about objective analysis of vision impairments using single trial full field VEP responses. The effect of different types of stimulation to the VEP responses would be studied, and an analysis would be carried out to distinguish the best stimuli capable of producing reliable results. The signals would then be used to discriminate the vision impairments in test subjects.

The suitable data acquisition protocol is to be developed to record VEPs from the patients with vision abnormalities. It is proposed to develop simple and efficient feature extraction algorithms to extract the most salient information from VEPs. It is also proposed to develop a decision making system to classify normal and abnormal VEPs.

82

Investigation on the effect of various bicycle seat position and height on physical fatigue and perceived comfort during cycling

In Malaysia, most of the bicycle was design based on the adapted anthropometric data from foreign countries. Thus, adjustment of the bicycle parameters was necessary for the cyclist to obtain an optimum cycling posture. Cycling posture is related to the seat position, height and other factors and it may affect the overall performance of the cyclist. Hypothetically, an optimum posture may result in less fatigue during cycling and finally improve the cyclist performance. Therefore, in this project, we investigate the effect of various bicycle seat position and height on physical fatigue and comfort during cycling activities.

83

Investigation on the effect of various skipping techniques on lower limb muscle strength

Rope skipping is a good cardio exercise which helps in maintaining or increasing human fitness level. Despite of its effectiveness in burning body fats, specific muscle strength developed in each technique was not clearly investigated. Understanding the relationship between rope skipping techniques and associated muscle strength will help coaches, therapist, athletes and others to train specific muscle during skipping. Thus, in this project, we evaluate the effect of various skipping techniques on certain lower limb muscle strength.

84

Isolated Malay Speech Recognition using Audio-Visual Features

Automatic speech recognition (ASR) is a technique to translate automatically incoming speech signal into their contextual information. Up to now, the existing ASR systems mainly depend only on acoustic signal patterns which are less advantageous in the presence of ambient noise. In recent years, interaction of audio and visual features has drawn increased attention in the area of speech recognition. The apparent connection between voice source activity and visual movement activity motivates us to investigate the audio and visual features for recognizing spoken utterance. Bimodal fusion of audio and visual information in perceiving speech has been shown to be useful for improving the accuracy of speech recognition in both humans and machines by Christian Benoit. In addition, visual speech is of particular importance modality to the hearing impaired person as mouth movement is well known to play an important role in both sign language and simultaneous communication between the deaf .

85

Kinematics Study during Side Kick for karate-do practitioners

Side kick is one of the most useful kick in karate-do. It requires complex movements in order to accomplish its. Posture, joint angle and other kinematics data can be useful in analyzing the side kick movement. By obtaining the appropriate kinematics measurement, performance of one’s athlete can be increased.

Requirement: Motion analysis system, Statistic tools.

86

Measured and estimated ground reaction forces for multi-segment foot models

Accurate measurement of ground reaction forces under discrete areas of the foot is important in the development of more advanced foot models, which can improve our understanding of foot and ankle function. To overcome current equipment limitations, a few investigators have proposed combining a pressure mat with a single force platform and using a proportionality assumption to estimate subarea shear forces and free moments.

87

Modeling for Human Personality traits in Extraversion and Neuroticism State

Personality is the particular combination of emotional, attitudinal, and behavioral response patterns of an individual. In contemporary psychology, the "Big Five" factors (or Five Factor Model; FFM) of personality are five broad domains or dimensions of personality that are used to describe human personality. Basically, emotional factor can bring different personality traits of individual due to factor such as age, health, environment, family, sex, education, socioeconomic status and others.

This project is proposed to model human personality traits in extraversion and neuroticism state during walking. The relationship between human emotional and personality will be model based on human movement joint. The grey box model such as regression will be used in modeling.

88

Modelling of human walking to optimise the function of ankle-foot orthosis

In recent years, considerable attention has been paid to studying human walking. In particular, there has been increasing enthusiasm to research human walking due to the predictive capabilities and potential applications in the areas of clinical biomechanics, rehabilitation engineering, neurosciences and robotics.

A very important aspect of gait analysis is the investigation of the kinetics of human body segments from kinematics data or vice versa.

Walking involves a pendular exchange between potential energy and kinetic energy, resembling the action of an inverted pendulum.

This seemingly simple task exhibits complex characteristics. During walking, the human body is characterised by periodic dynamics involving mechanical energy exchanges, and its natural frequency is an important determinant of spontaneous walking.

89

Optic Disc and Macula Detection in Color Fundus Retinal Images

An efficient detection of anatomical structures in retinal images is the fundamental step in an automated retinal image analysis system. This project is proposed to detect the optic disc and macula using image processing methods. Abnormalities which present in macula region may result to blindness. Therefore, it is important to detect and mark the macula region in the retinal fundus image to automate the detection of Maculopathy. This project will be implemented using Borland C++/Visual C++ builder. A brief introduction class to familiarize this platform will be arranged. However, student needs to have a good knowledge in C programming.

90

Plasma parameters for optimum surface processing (biomaterial)

Atmospheric Pressure Plasma is increasingly popular method for materials processing due to its physical and chemical properties. The objective of this project is study the properties of plasma for optimum surface processing. The analysis of parameters of plasma generation (power, voltage, gas, processing time) will be carried out

91

Plasma Treatment for biocidal materials

Atmospheric Pressure Plasma is increasingly popular method for materials processing due to its physical and chemical properties. The objective of this project is study the properties of biocidal after being treated to plasma. The analysis of bacterial inactivation will be carried out.

92

Plasma Treatment for biomaterials (silicon)

Atmospheric Pressure Plasma is increasingly popular method for materials processing due to its physical and chemical properties. The objective of this project is study the properties of silicon after being treated to plasma. The analysis of surface wettability, surface tension, compression will be carried out.

93

Plasma treatment for cell adhesion

Atmospheric Pressure Plasma is increasingly popular method for materials processing due to its physical and chemical properties. The objective of this project is study the cell adhesion of selected biomaterial for cell adhesion after plasma treatment.

94

Plasma treatment for cell adhesion (bovine bone)

Atmospheric Pressure Plasma is increasingly popular method for materials processing due to its physical and chemical properties. The objective of this project is study the cell adhesion of bovine bone for cell adhesion after plasma treatment

95

Rapid Identification Method of Aerobic and Anaerobic Bacteria in Diabetic Foot Ulcers using Electronic Nose

The rapid method to identify the aerobic and anaerobic bacteria species on the infected foot using electronic nose is proposed. The diabetic foot infection can spread with alarming rapidity leading to considerable death of tissue (necrosis) and impaired wound healing. There are a few types of bacteria which exist on the diabetic foot ulcers such as Staphylococcus aereus, beta- hemolytic streptococci, Pseudomonas aeruginosa, Escherichia coli and many more. By using the electronic nose (E- nose), the existence of these bacteria can be detected rapidly. The sample handling system ensures that samples are presented to the sensors in a controlled manner. For each of bacteria will emanating their specific volatiles organic compound (VOC) during their metabolism. If the electronic nose can succeed detect the volatiles organic compound (VOC), the existence of the bacteria on the infected diabetic foot can be identified easily and rapidly. In this project, the data collection for the samples is running for the cases of poly-bacteria cultured in one type of agar. This project will be done in the microbiology lab (in vitro) to study the volatiles released by poly-bacteria cultured in one agar. Statistical analysis and artificial neural network will be further performed in order to classify the different type of bacteria exist in diabetic foot ulcers.

96

Sensitivity Analysis for Exudates Segmentation

Patients with diabetes need annual screening in order to prevent vision loss or even blindness. Medical imaging can assist ophthalmologists in the examination process by automating the detection of the lesions that appear in the retina. In this project, image processing methods will be adopted in order to segment the exudate. Student needs to analyze the performance of each segmentation method in term of sensitivity. This project will be implemented using Borland C++/Visual C++ builder. A brief introduction class to familiarize this platform will be arranged. However, student needs to have a good knowledge in C programming.

97

Spine Cervix Tumor Detection Method using An Improved CNN Algorithm

Tumor segmentation from magnetic resonance image data is an important but time consuming task performed manually by medical experts. Automating this process is challenging due to the high diversity in appearance of tumor tissue among different patients and different cases. This project is aimed to develop an efficient segmentation algorithm for extracting spine cervix tumors in magnetic resonance images using Cellular Neural Networks (CNN). Learning CNN templates will be designed in order to detect the existence of spine cervix tumor. The developed algorithm is applied on real data of MRI images with different types of tumors. The results are compared with radiologist labeled ground truth. Quantitative analysis between ground truth and segmented tumor is presented in terms of segmentation efficiency.

98

Study of different mesh patterns of piezoresistive based tactile sensor

Tactile sensor is becoming more important in both robotic and prosthetic applications. The ultimate aim in development of tactile sensor is to replicate the function of the human mechanoreceptors, as well as having the spatial resolution of the human. Wire mesh tactile array will result in low cost tactile sensor, yet have a potential to produce result comparable to commercial tactile sensor. However, to obtain the best pattern that provides a few possible patterns will be studied and in order to confirm which pattern gives the optimum result.

99

Study of Electrocardiographic Changes in Partial Epileptic Patients

Electrocardiogram (ECG) is the record of variation of bioelectric potential with respect to time as the human heart beats. Electrocardiography is an important tool in diagnosing the condition of the heart. Epileptic seizures are associated with several changes in autonomic functions, which may lead to cardiovascular, respiratory, gastrointestinal, cutaneous, and urinary manifestations. The ECG should be reviewed for high-risk cardiac abnormalities during epileptic seizures.

In this project, ECG based classification of partial epileptic patients from normal patients.ECG recordings will be downloaded and used for the analysis. Suitable signal processing algorithms will be developed to find the differences in ECG signals between normal and partial epileptic patients. Suitable classifiers will be developed to classify the recorded ECG signals into normal or abnormal ECG recordings. The proposed method can be used to help the medical professionals in diagnosing the partial epilepsy from ECG recordings.

100

Study on different wrist coordination during Pinch Activity

Pinch activity can be done by using different wrist coordination. Posture of human wrist will give effects to muscle activity during pinch activity. It is very useful to study the coordination of human wrist as it will give better understanding regarding output of human muscle during pinching.

Requirement: EMG (Delsys/AD Instrument), Statistical Analysis, Mechanical Design.

101

Study on proprioception during start of pinch activity

Study on perception during pinching is very important because it show how human control its body by sensing its environment dynamically. Knowing the control strategy will help in developing a good prosthetic arm. This will lead to development of good decision algorithm between sensors and actuators.

Requirement: Matlab, Sensors, Mechanical design.

102

Study on the co-operation between two fingers in completing the dynamic pinch activity

Using force sensor, ones can determine individually the contribution of each finger in completing the dynamic pinch activity. The information about the control strategy in completing the dynamic pinch activity can be useful in designing appropriate prosthetics arm. Prosthetics arm that can accurately mimic function of human arm is really needed nowadays as to eliminate the abnormality on the conventional prosthetics arm.

Requirement: Matlab, Instrumentation design, Statistical Tools.

103

The reliability of three-dimensional kinematic gait measurements

Three-dimensional kinematic measures of gait are routinely used in clinical gait analysis and provide a key outcome measure for gait research and clinical practice. The aim of this study was therefore

(1) to compare foot kinematic data from this study and another centre as a preliminary examination of the model’s inter-centre repeatability and validity

(2) Determine the repeatability of the foot model during various phases of the gait cycle.

104

The vein graft monitoring device after surgery procedure

This is an interesting project done with UPM medical faculty. Student will be required to travel to UPM medical faculty in order to conduct research mechanical properties with medical area. The reconstruction on upper extremity of arterial system is rarely performed than lower extremity. In many case for lower extremity, after the reconstruction vascular surgery, the failure of vein graft will occur after few weeks or months. The main factor is called thrombosis or blood clot at the wall of vein graft. Thrombosis occurs at the inlet or outlet of harvested Saphenous Vein in reverse position causes the vein graft being blocked and failed. Principally, we are going to design a medical device which measure the tissue impedance tissue of vein graft indirectly and non invasive to patient due to check successful rate of vein graft surgery. So, our targets of this project are to design a new device that provide high accuracy in predicting on vein graft patency rate and providing the short term for monitoring on vein graft right after surgery procedure is done. This project is collaboration with UPM Medical Faculty and may involves some surgery. Project will be assisted with Master Students

105

Ultrasonic flow measurement device

An ultrasonic flow meter is a type of flow meter that measures the velocity of a   liquid or gas (fluid) by using the principle of ultrasound. Using ultrasonic transducers, the flow meter can measure the average velocity along the path of an emitted beam of ultrasound, by averaging the difference in measured transit time   between the pulses of ultrasound propagating into and against the direction of the flow. Ultrasonic flow meters are affected by the temperature, density and viscosity of the flowing medium. They are inexpensive to use and maintain   because they do not use moving parts, unlike mechanical flow meters.

106

Wheelchair Control System based on Iris Movement

This project is proposed to assist a physical disable person to control the wheelchair using iris movement. A webcam camera is used to capture the eye image. Image processing methods are used to extract the eye and the iris movement will be analyzed. In this project, 3 directions of the eye movement will be studied (right, left and front). This project will be implemented using Borland C++/Visual C++ builder. A brief introduction class to familiarize this platform will be arranged. However, student needs to have a good knowledge in C programming.  

 

 

To find out more about research on the campus in detail you can visit us in ResearchGate (URL: https://www.researchgate.net/plugins. DepartmentPluginConfig. html?institutionKey=Universiti_ Malaysia_Perlis&departmentKey= School_of_Mechatronic_Engineering)
Tab content 2

School of Mechatronic Engineering
Universiti Malaysia Perlis (UniMAP)
Kampus Pauh Putra
02600 Arau, Perlis
MALAYSIA
Tel: +604-988 5166 , Fax: +604-988 5167

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Copyright © UniMAP
Security Policy | Privacy Policy |
Disclaimer | Copyright

logo1 unimap logo2 jata malaysia logo3 kpt logo4 msc logo5 MQA logo7 sqa logo6 qs

Sunday the 23rd. © 2015. School of Mechatronic Engineering UniMAP. Best viewed using Firefox or Chrome with 1280x768 resolution. | Home | Joomla 3 Templates Joomlaskins
View My Stats