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Now showing items 21-30 of 32
Development of EEG-based epileptic detection using artificial neural network
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
Epilepsy is one of the most common neurological disorders causing from repeating brain seizures that are the result of the temporal and sudden electrical disturbance of the brain. Electroencephalogram (EEG) signal plays ...
Simulation study on size and location identification of tumors in liver tissue through eddy current distribution analysis
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
In identifying the location of tumors in the liver, eddy
current characteristics analysis can be applied since the
conductivity value of normal tissue and tissue with tumors are
different, which are 2.88 mS/cm and 5.33 ...
Image enhancement technique using partial contrast stretching on abnormal Bone Marrow images for Leukemia screening
(Universiti Malaysia Perlis (UniMAP), 2010-10-16)
Image Enhancement is a very useful pre-processing
method that is implemented on biomedical images to
eliminate poor contrast, thus improve interpretability
for human’s vision. In Leukemia, the Bone Marrow
generally ...
Computed Tomography Virtual Lab Software application in Biomedical Electronic Engineering Programme at University Malaysia Perlis
(Universiti Malaysia Perlis, 2010-06-09)
Computed Tomography (CT) is a
medical imaging method and is among the common
equipment or machine in a hospital which is vital in
imaging certain parts of human body for the purpose
of screening and detecting of deceases ...
Design and development of Fuzzy Expert System for diagnosis of hypertension
(Institute of Electrical and Electronics Engineers (IEEE), 2011-01-24)
The aim of this study is to design a Fuzzy Expert System (FES) for diagnosis of hypertension risk for patients aged between 20's, 30's and 40's years and is divided into male and female gender. The input data is collected ...
Preliminary study of pneumonia symptoms detection method using cellular neural network
(Institute of Electrical and Electronics Engineers (IEEE), 2011-06-21)
Medical diagnosis is one of the most important procedure in which image processing are usefully applied. In this paper, a pneumonia symptoms detection method based on cellular neural networks (CNNs) is proposed. The CNN ...
On the chaotic nature of biological signals using nonlinear data analysis methodology
(Universiti Malaysia Perlis, 2009-10-11)
In this study, we analyze the characteristic of biological signals using nonlinear data analysis methodology. Biological signals are not linear so to get a more accurate portrait of nonlinear signals, we must analyze them ...
Ultrasonic transducer kit for bacteria growth monitoring system
(Institute of Electrical and Elctronics Engineering (IEEE), 2010-05-21)
In food process industries, sometimes there was food contamination even when it is still in process. Same as other industries when involved with liquid, product contamination which caused by bacteria can affect the quality ...
Performance comparisons of new excitation coil design aspects in Magnetic Induction Tomography (MIT) applications
(Institute of Electrical and Electronics Engineers (IEEE), 2011-01-24)
Magnetic Induction Tomography (MIT) is a contactless method interested in conductivity properties of the object. In MIT system, excitation coil plays an important role since it generate primary field which then will propagate ...
Synthesis and characterization of bioceramic from Malaysian cockle shell
(Institute of Electrical and Electronics Engineers (IEEE), 2010-10-03)
Anadara granosa (Ag) is a marine bivalve cockles
which can be found in the tidal mudflats bordering the coastal
region of many south East Asian countries particularly Malaysia,
Indonesia and Thailand. This research is ...