Mohd Najeb Jamaludin

• PhD Biomedical Engineering
• Senior Lecturer at University of Technology Malaysia

This study aims to develop the virtual reality environments with stress-stimuli, and assess the results using electroencephalography Alpha/Beta ratio. To do this, we utilised OpenBCI technology to measure brain activity in participants exposed to the stimuli-based VR environment. In order to build the virtual reality environments for this study, we...

Aquaculture has been recognized as a sector that can assist to diversify the Brunei economy from relying on the oil and gas industry. Previous research has indicated that water quality in aquaculture settings is a major limiting factor; thus, it is important to examine and determine the influencing elements that would harm them. However, traditiona...

Virtual reality is an alternative tool to provide a safe and competitive environment, especially for training and competitions. This study aims to evaluate the effects of modified psychomotor tasks in the virtual reality on the alpha/beta ratio, power output, heart rate, and cadence. The participants are recruited among national development cyclist...

This paper proposes a model free neural network self-tuning proportional integral (NNPI) controller for a biceps-triceps thin McKibben muscle (TMM) platform in an antagonistic pair configuration. The study intends to explore the proposed model independent control strategy for TMMs in an antagonistic assembly for time varying joint angle tracking. I...

This paper proposes an antagonistic proportional integral (API) control strategy for thin McKibben muscles (TMM) in an antagonistic pair configuration. The study intends to explore a model independent control strategy for TMMs in an antagonistic pair assembly on a TMM platform which mimics the human finger at metacarpophalangeal (MCP) joint. Set-po...

This paper proposes a simple neural network compact form model-free adaptive controller (NNCFMFAC) for a single thin McKibben muscle (TMM) system. The main contribution of this work is the simplification of the current neural network (NN) based compact form model-free adaptive controller (CFMFAC), which requires only two adaptive weights. This is a...

Novel biomaterials for diagnostics and therapeutics of biomedical issues have been considered using biomedical science and health care. Halloysite nanotubes (HNTs) are naturally occurring aluminosilicate clay. Because of their unique hollow tubular structure, biodegradability, mechanical and surface properties, they have drawn the attention of rese...

Road cycling requires cyclists to deal naturally with uncertain environments due to different terrain and responses from competitors. Hence, virtual reality is an alternative tool to provide a safe and competitive environment especially for training and performance during competition. This study intends to evaluate the effects of task difficulty le...

Awareness on fatigue level is important for people in order to understand their physiology in daily activities. This situation become more critical when involving physical exercise and reach the maximum threshold fatigue which can lead to injury. Additionally, sedentary people become the most group who is difficult to understand and know their fati...

Vital sign monitoring is an important body measurement to identify health condition and diagnose any disease and illness. In sports, physical exercise will contribute to the changes of the physiological systems, specifically for the vital signs. Therefore, the objective of this study was to determine the effect of physical fatigue exercise on the v...

The demand on the wearable device in sport for health monitoring is increasing due to the awareness among the people while they undergo any physical activities. Therefore, the purpose of this study is to develop a wearable surface electromyogram device that can be used to measure and to monitor muscle activity during aerobic exercise. A 10-bit anal...

Awareness on physical fatigue is important for prevention of injury caused by over-exercise while performing an exercise. Therefore, this study aims to predict an exhaustion threshold quantitatively based on ECG features using the artificial neural network. All five males of volunteered were participated to obtain the exhaustion threshold from exer...

Exhaustion or extreme of fatigue is the highest condition of body performance during exercise. This state presents an optimum energy to execute by an athlete before their level of fitness reduced and required the recovery process. The purpose of this study is to monitor and predict an exhaustion threshold from three physiological systems; respirato...

Falls among bedridden would increase in number if they are left unsupervised by the caregivers. Fall might occur among the bedridden person especially elderly which is about 30% of those over 65 years and 40% of those over 80 years. From the total number of falls happen, bedroom can be considered as one of the most common falling location The aim o...

Physical fatigue or muscle fatigue is a common problem that affects people who are vigorously involved in activities that require endurance movements. It becomes more complicated to measure the fatigue level when the dynamic motion of the activity is included. Therefore, this paper aims to develop a wearable device that can be used for monitoring p...

The purpose of this project is to develop a wearable Malaysian Ringgit banknotes recognition device for assisting the visually impaired people to recognize the value of Malaysian banknotes. In this project, the RGB values in six different classes of the banknotes (MYR 1, MYR 5, MYR 10, MYR 20, MYR 50 and MYR 100) were taken at 12 different points (...

Generally, in sports performance, the relationship between movement science and physiological function has been conducted integrating neuronal mechanism over the past decades. However, understanding those interaction between neural network and motor performance comprehensively in achieving optimal performance is still lacking, mainly in cycling. Th...

Falls among bedridden would increase in number if they are left unsupervised by the caregivers. This aim of this study is to evaluate the features from the Kinect-like depth image representing the bedridden in detecting the awakening event as the event that falls might occur. The images from 20 subjects performing six sleeping activities including...

In sport, most of the muscle fatigue occurred on the upper limb is due to the arm movement in static and dynamic activities. Moreover, there are limited devices to measure muscle activity in real-time monitoring when games ongoing. Therefore, the purpose of this study is to detect muscle fatigue by using the wireless surface Electromyogram (sEMG) i...

Today, human-machine interface (HMI) has become a very common part of life, and more intuitive simpler gesture-based system, whether it’s upper or lower limb had been constructed. The various Biopotential signal can be used as a gesture signal such as Electroencephalogram (EEG) and Electromyogram (EMG). In this paper, we’re going to discuss on EMG...

Fetal movement during pregnancy has been identified as an important index of fetal well-being. Recently, the relationship between fetal movement and the later development of baby after birth has gained attention of clinicians. This paper presents a newly developed Fetal Movement Recorder (FMR) using an accelerometer-based movement measurement devic...

In this paper, an affordable low specification 16- bit photon counting system has been prototyped. This is to overcome the high cost equipment which are design for broad applications., This system is developed specifically for the measurement of spectral delayed luminescence of saliva and is able to communicate with PC through USB port. Schematics...

This paperwork presents the development of spectral delayed luminescence system for the measurement of whole saliva. Despite various reports of delayed luminescence and its correlation to various diseases, it has fail to highlight the specific cause of the occurrence suggesting it being more suitable as a screening tool utilizing saliva as non-inva...

This paper describes the development of stand alone DSP hardware for QT interval monitoring and assessment. The QT interval has been known to be an important indicator prior to Myocardial Infarction (MI) and it is important to observe and monitor any changes in the period of the QT interval. The system consists of three units. The first unit includ...

This paper describes the implementation of low cost standalone Digital Signal Processing (DSP) hardware for ECG monitoring in order to assist physician or cardiologist to carry out their visual observation in ECG monitoring.The visual observation is in real time, where the acquired ECG from the subject can be seen on the graphic LCD and it is impor...

Problem statement: ABR machine is a well known machine that has been used on detection of hearing problem especially for babies or children. In ABR, wave V is the most prominent and robust wave that has been used as indicator of hearing loss. However, a fast detection of the wave V is necessary in order to implement newborn hearing screening. There...

Support Vector Machine (SVM) has, over the years established itself as an effective method for machine learning. SVM has strengths as such that it uses a kernel function to deal with arbitrary structured data which comprises of non-linear data sets. However, to fully optimize the benefits of using the kernel function, one will have to fine-tune the...

This paper presents heart sound analysis method based on Time-Frequency Distribution (TFD) analysis and Mel Frequency Cepstrum Coefficient (MFCC). TFD represents the heart sound in term of time and frequency simultaneously which while the MFCC defines a signal in term of frequency coefficient corresponding to the Mel filter scale. There are 100 nor...

This paper presents heart sound analysis method based on Time-Frequency Distribution (TFD) analysis and Mel Frequency Cepstrum Coefficient (MFCC). TFD represents the heart sound in term of time and frequency simultaneously which while the MFCC defines a signal in term of frequency coefficient corresponding to the Mel filter scale. There are 100 nor...

This paper describes the development of a data acquisition system for the electrocardiogram (ECG) and the phonocardiogram (PCG). Diagnosing heart sounds and heart murmurs using the stethoscope is an established practice clinically. However it requires considerable experience and training, to ensure validity and reproducibility. Echocardiography pro...

QT dispersion has been generally agreed that it is a marker for the sudden cardiac death. Therefore an automated QTd analysis system is crucial in detecting the symptoms. Various systems have been developed in this field to support various medical and sports practice. The 12-lead electrocardiogram system is one of them. PC-base electrocardiogram sy...

Research and study of the electrocardiogram evolves with the advancement of digital signal processing and artificial intelligence. Unfortunately, readily available electrocardiogram machines in the market do not provide automated measurement of the QT dispersion. Therefore, a twelve-lead electrocardiogram system is developed in order to assist the...