Rubita Sudirman

Rubita Sudirman
Universiti Teknologi Malaysia | UTM · Department of Electronics and Computer Engineering

PhD (EE)

About

183
Publications
107,581
Reads
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961
Citations
Introduction
​Research interest: Biomedical Electronics & Biosignal (EOG, EEG, EMG), Rehabilitation Engineering, Speech Processing
Additional affiliations
May 1997 - September 2013
Universiti Teknologi Malaysia
Position
  • Professor (Associate)
Education
June 2004 - December 2007
Universiti Teknologi Malaysia
Field of study
  • Electrical Engineering
January 1995 - December 1996
University of Tulsa
Field of study
  • Electrical Engineering
August 1992 - December 1994
University of Tulsa
Field of study
  • Electrical Engineering

Publications

Publications (183)
Article
Human memory stores various information and events that can be retrieved when needed. Many factors can influence memory performance which either provide positive or negative feedback. This research investigates the effect of audiovisual stimulation on adult memory based on electroencephalography (EEG) analysis. Sixty college students are participat...
Article
A bipolar membrane fuel cell (BPMFC) is a novel hydrogen/oxygen (H2/O2) fuel cell consisting of two‐layer membranes. The design of BPMFC is still in an early stage, and it requires profound research to explore its functions, working operations, and improve its performance. This review article systematically described the previous manipulations made...
Article
Full-text available
Introduction: Brain rhythms are usually measured using electroencephalography (EEG) to detect changes in neuronal activity associated with specific human activity and behavior. This research determines the effectiveness of auditory stimulation for visual memory based on the features of brain rhythm. Methods: The research design involved three main...
Article
The membrane in a fuel cell plays an essential role in permeating the ionic charges of positive and negative ions without passing the fuels and electrons through it. The membrane's common materials are perfluorinated polymer, non-fluorinated or hydrocarbon polymer, and natural polymer. The physicochemical properties of the membrane have the most si...
Article
Full-text available
The use of polymers as biomaterials has greatly influenced the advancement of the biomedical field. Various types of natural and synthetic polymers have been developed and modified to meet the requirements to be used in modern medicine. Among them, synthetic aromatic polymer such as polyetheretherketone (PEEK), polyethersulfone (PES), polyetherimid...
Article
Musculoskeletal disorders (MSDs) are widespread through the world and are the second most common cause of disability in work setting. There are many method used to analyse MSDs to know the reality situation and affacted to the employess The review is to compare in terms of design, methodology, approach and identify the equipment and method used fro...
Article
Hot‐pressing is a simple and promising technique for the integration of a proton exchange membrane (PEM) and anion exchange membrane (AEM) to allow both positive and negative ions simultaneously in a bipolar membrane (BPM). In this research, a composite sulfonated poly(ether ether ketone)/polyethersulfone (sPEEK/PES) was prepared as a PEM electroly...
Conference Paper
Social Anxiety Disorder (SAD) is one of the mental health problems that occur when people experience an intense fear of being criticized or humiliated even in everyday situations. It is very important to detect SAD in its initial stages to prevent severe mental health condition. This study aims at proposing an alternative method to detect the SAD i...
Article
Highly sulfonated poly(ether ether ketone) (sPEEK) offers high proton conductivity but lacks in mechanical stability due to poor swelling degree. Therefore, a promising approach has been introduced in this study by incorporating the hydrophobic polyether sulfone (PES) into sPEEK matrix. The effect of incorporating PES at various composition content...
Article
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Sickle cell anemia (SCA) is a serious hematological disorder, where affected patients are frequently hospitalized throughout a lifetime and even can cause death. The manual method of detecting and classifying abnormal cells of SCA patient blood film through a microscope is time-consuming, tedious, prone to error, and require a trained hematologist....
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The human Autonomic Nervous System (ANS) controls the body’s physiological responses such as heart rate, electrodermal activity, temperature, and pupil diameter. The physiological responses are increased in the presence of a stressing stimuli and this is a typical ANS response. However, in case of children with Autism Spectrum Disorder (ASD), they...
Article
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Today, machine learning and deep learning have paved the way for vital and critical applications such as abnormal detection. Despite the modernity of transfer learning, it has proved to be one of the crucial inventions in the field of deep learning because of its promising results. For the purpose of this study, transfer learning is utilized to ext...
Article
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Bipolar membrane fuel cell (BPMFC) was firstly discovered in 2000 that composed of two-layered ionic conducting membranes. The importance of BPMC development is its ability to humidify the cell when operating at a high current density that eliminates the use of the external humidification system. It is able to self-humidify the cell because of wate...
Article
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Development of promising polymer based material for the membrane of the fuel cell was crucial to improve its performance and lifetime. The sulfonated polymer physicochemical properties depend on the degree of sulfonation (DS). High DS of sPEEK exhibits high performance, but poor in mechanical properties due to high water absorption. So, this presen...
Conference Paper
Full-text available
The most common and dangerous hereditary disease that affect red blood cells (RBC) is sickle cell anaemia due to its morphological characteristics of the cells and caused episodes of pains to the affected individual. This work proposed algorithms in two phase, firstly is to compare segmentation systems such as watershed, edge detection, laplacian o...
Article
Sulfonated poly(ether ether ketone) (sPEEK) membrane is a promising proton-conducting membrane for fuel cell. However, the performance and lifetime of sPEEK membrane depend on the degree of sulfonation (DS). High DS of sPEEK increases the performance, but the mechanical properties could deteriorate progressively which affect its lifetime. Thus, thi...
Article
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In medical field, the recognition of red blood cells (RBC) is used as an indicator to detect the type of diseases such as anaemia, malaria and leukaemia etc. The problems using manual detection of normal and abnormal RBCs under the microscope is tend to give inaccurate result and errors. This paper proposed a method to recognize the normal and abno...
Article
Full-text available
p>In medical field, the recognition of red blood cells (RBC) are used as an indicator to detect the type of diseases such as anaemia, malaria and leukaemia etc. The problems using manual detection of normal and abnormal RBCs under the microscope is tend to give inaccurate result and errors. This paper proposed a method to recognize the normal and a...
Article
Full-text available
Electromyography signal analysis and classification method for Health Screening Program for Social Security Organisation (SOCSO) Malaysia is the first time applied using time-frequency distribution (TFD). This paper presents the classification of EMG signals for health screening task for musculoskeletal disorder. A time-frequency method, i.e spectr...
Article
This study investigates and acts as a trial clinical outcome for human motion and behaviour analysis in consensus of health related quality of life in Malaysia. Both methods were developed in MATLAB platform by managing and analyzing motion data in graphical user interface (GUI) form. By attaching the wearable sensors to each segments of interest,...
Article
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This study aimed to examine the effectiveness of the eye massaging device in promoting mind relaxation state based on alpha rhythm in brain. This study has been conducted involving 35 participants whose their brain signals were captured by an electroencephalography (EEG) machine whilst they undergoing resting state, eye massaging session and visual...
Article
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The most common and dangerous defect of red blood cells (RBCS) is shape abnormality, The primary detection and confirmation of anaemic stage(shape abnormality) is based on haemoglobin level or manual microscopic examination of peripheral blood smears. The problem of classifying the abnormal cells manually under microscope is that it consumes time,...
Article
Full-text available
A Social Security Organisation (SOCSO) Malaysia has reported that the incidence of work related to musculoskeletal disorders (MSDs) has been growing planetary in the manufacturing industry. MSDs are the result of repetitive, forceful or awkward movements on our body and or body parts of bones, joints, ligaments and other soft tissues. Workplace pai...
Conference Paper
Full-text available
Electroencephalography (EEG) is a measure of voltages caused due to neural activities within the brain. EEG is a recommended tool for diagnosing neurological problems because it is non-invasive and can be recorded over a longer time-period. The children with Autism Spectrum Disorder (ASD) have difficulty in expressing their emotions due to their in...
Conference Paper
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Physiological signals are significant indicators that can help anticipate harmful underlying conditions in humans. Recent advancements in medicine and electronics have allowed monitoring of physiological signals cost effectively and noninvasively. People living in remote areas are usually deprived of basic healthcare facilities and the available re...
Article
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Nowadays, the advancement of medical technology has given birth into many innovative machines and devices to improve our health life, especially to those who are disabled or gifted. On some people with severe disabilities such as quadriplegia, the human eye-ball does not only serve as a vision system, but also a means of conveying information and i...
Article
Electroencephalography is an imaging of the electrical signal of the brain. It is widely use among the researcher compared to other techniques since it is affordable, non-invasive, able to record the signal in short time and painless to the subject. The brain signal can be divided into five specific frequency that known as alpha, beta, theta, delta...
Article
Abnormal detection refers to infrequent data instances that come from a diverse cluster or distribution than the majority normal instances. Owing to the increasing demand for safety and security, discovery abnormalities from video streams has attracted significant research interest during recent years. By automatically finding abnormal actions, it...
Article
Full-text available
Listening to auditory stimuli during study can give positive and negative influence on human cognitive processing. Thus, it has attracted researchers to conduct studies using various types of auditory stimuli. Some researchers believe that Mozart music and white noise are able to give positive influence on cognitive performance. However, most of th...
Conference Paper
The aim of this research is to build up an anode and cathode catalyst loading with its optimum performance using modified sulfonated poly (ether ether ketone) (SPEEK) with charged surface modifying macromolecules (cSMM) membrane. The catalyst ink and membrane electrode assembly (MEA) was prepared by hot pressing using catalysed diffusion media meth...
Article
This study is to investigate the Event-Related Potentials (ERP) from the background of Electroencephalograph (EEG) signal for working memory retention by using visual stimuli. The proposed analysis of ERP signal is to predict the performance of working memory retention for various frequency bands such as gamma, beta, alpha, theta and delta. This st...
Article
Full-text available
A new method of MP3 steganography is proposed with emphasis on increasing the steganography capacity of the carrier medium. This paper proposes a data embedding algorithm to hide more information for compressed bitstream of MP3 audio files. The sign bits of Huffman codes are selected as the stego-object according to the Huffman coding characteristi...
Article
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This recent study introduces and discusses briefly the use of wavelet approach in removing the artifacts and extraction of features for electroencephalography (EEG) signal. Many of new approaches have been discovered by the researcher for processing the EEG signal. Generally, the EEG signal processing can be divided into pre-processing and postproc...
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A new method of MP3 steganography is proposed with emphasis on increasing the robustness of data embedding based on the MP3 statistical properties, which used Modified Discrete Cosine Transform (MDCT) to compress these properties. In order to achieve this purpose, modification of selected MDCT coefficients is done through MPEG audio compression pro...
Conference Paper
Full-text available
This paper focused on the study of electroenceplaography (EEG) signal recorded during human brain activity. The EEG frequency range of 8 – 12 Hertz indicates the human states at light relaxation, super learning and positive thinking. The related works involved are signal acquisition, pre processing signals, feature extraction, and usage of neural n...
Article
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A scalable tracking human model was proposed for recognizing human jogging and walking activities. The model aims to detect and track a particular subject by using wearable sensor. Data collected are in accelerometer readings in three axes and gyroscope readings in three axes. The development of proposed human model is based on the moderating effec...
Article
Sequential strategies of digitized tablet drawings by 6-7-yr.-old children (N = 203) of average and below-average handwriting ability were analyzed. A Beery Visual Motor Integration (BVMI) and a Bender-Gestalt (BG) pattern, each composed of two tangential shapes, were predefined into area sectors for automatic analysis and adaptive mapping of the d...
Article
Full-text available
This study has been conducted to examine the effectiveness of the eye massaging device to reduce massive amount of eyesight problem. The electrical activity of the muscles surrounding the eyes is recorded by using Neurofax EEG-9200 machine. Electroencephalography (EEG) is a process to determine the brain signal, while Electrooculography (EOG) is us...
Article
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Audio techniques have been developed for audio streaming on the internet. Using the TCP/IP protocol, audio file can be uploaded, downloaded, and transmitted through the internet. This benefit of transmission makes the interest in using audio as cover object in steganography become much stronger. Capacity which is one of the most important propertie...
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The aim of this study is to examine the working memory impairments imitate age-related between 7 to 12 years old using Event-Related Potentials (ERP) signal. 97 normal children were selected to a visual stimuli assessment (Phase 1 and Phase 2) while their working memory response was recorded using Electroencephalograph (EEG) machine. Raw EEG signal...
Conference Paper
This study presents a method to examine the electrical activity of the muscles surrounding the eyes due to the effect of eye massaging device using Electrooculography (EOG) signal. EOG is a process to measure the biopotential produced by the changes in eye position or when the eye movement occurred. This potential difference can be measured by plac...
Conference Paper
Full-text available
This study is aimed to investigate the effective environment for memorizing and the effect of environment on people's concentration based on electroencephalography (EEG) signal. Memorizing is one of the most important techniques that students always gauge in their study whether to memorize the formula, system design, human anatomy and many others....
Article
Full-text available
There has been a lot of research on the study of the human brain. Many modalities such as medical resonance imaging (MRI), computerized tomography (CT), positron emission tomography (PET), electroencephalography (EEG) and etc. has been invented. However, between this modality the electroencephalography widely chosen by researchers due to it is low...
Article
Summary.—Sequential strategies of tablet digitized drawings by 6–7-yr.-old children (N = 203) of average and below average handwriting ability were analyzed. A Beery Visual Motor Integration (BVMI) and a Bender-Gestalt (BG) pattern, each composed of two tangential shapes, were predefined into area sectors for automatic analysis and adaptive mapping...
Conference Paper
Full-text available
Electrooculography signal is a bio-signal potential instrument obtained by an EOG acquisition device. The signals were divided into vertical and horizontal signals according to the channel and the placement of electrodes respectively. This paper is to investigate the differences in absolute mean values of the EOG signals before and after using an e...
Conference Paper
Full-text available
Electroencephalography (EEG) is a non-invasive process that record and capture brain signal. Raw EEG signal contaminated with a lot of noise such as power line interference, muscle movement (electromyography artifacts) and eye blinking (electrooculography artifacts). Removing this types of noise can produce a clean signal. The noise that contaminat...
Article
The purpose of this study is to investigate the P300 event-related potentials (ERP) from background Electroencephalograph (EEG) of working memory performance by visual stimuli task. The proposed analysis for each channel at the prefrontal cortex is to compare the energy distribution via wavelet scalogram with the change of time and frequency of ERP...
Article
Full-text available
Feature extraction is a process to extract information from the electroencephalogram (EEG) signal to represent the large dataset before performing classification. This paper is intended to study the use of discrete wavelet transform (DWT) in extracting feature from EEG signal obtained by sensory response from autism children. In this study, DWT is...
Article
Full-text available
Researcher had claimed that white noise is one of the sound stimulation that is able to improve the human cognitive thinking. This study aims to determine the effect of white noise and visual working memory task on brain signal. The performance of the subject during the task has been analyzed based on the brain signal activation at location Fp1, Fz...
Article
Full-text available
Anew information hiding approachis proposed to hide much more information into MP3 audio file in comparison with mp3stego software in this article. The music MP3 file format because of its features such as tone quality and high compression ratio is verypopular on Internet. In this proposed method, the embedding of information is concurrentlyaccompl...