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Epileptologists use interictal epileptic discharge (lED) as a marker for epilepsy. The present conventional method to distinguish normal and I ED by an epileptologist's visual screening is tedious and operator dependent. The focus of this paper is to distinguish normal and IED in clinically recorded electroencephalogram (EEG) using discrete wavelet transform. Wavelet multiresolution analysis has been...
Difficulty of understanding speech in noise among the elderly community necessitates the need for Auditory Training which has made a renewal of interest in the last decade with the auditory training applications. This interest is perhaps spurred by advances in computer-based technology. In computer-based training, speech signals are considered as training stimuli where input speech signals need to...
A retrospective study was conducted at Hospital Canselor Tuanku Muhriz (HCTM), Pusat Perubatan Universiti Kebangsaan Malaysia, from January 2015 to January 2016, cases registered was included in the study. Linear discriminant model was found to be the most reliable trained model for the 30 dengue fever data with a true positive rate (TPR) of 83.3% and false negative rate (FNR) of 16.7%. The accuracy...
Intracerebral hemorrhage (ICH) and cerebral amyloid angiopathy (CAA) are two common causes of hemorrhagic stroke. Distinguishing CAA from ICH is challenging due to similarities in clinical presentation and imaging. Magnetic Resonance Imaging (MRI) is one imaging modality that can be used in the early detection of ICH. The objective of this paper is to identify the best enhancement techniques in MR...
Analysis of the electroencephalogram (EEG) signal is a popular method for brain activity tracing. However, a precise experiment design is required in ensuring accuracy and reliability of the recorded signals. This includes the eye state whether to be in a closed or open position based on the experiment requirement. In this study, we have demonstrated significant difference between EC and EO in terms...
Speech enhancement in degenerate mixtures is a challenging task for the signal processing engineers. Degenerate Unmixing Estimation Technique (DUET) is a commonly used algorithm in speech signal separation, however there are limitations in separating the speech babble as noise and/or competing speech as noise from speech signal. These noises are important for auditory related training and testing...
Increasing space weather research need in equatorial region has brought the space weather related data observation to both research and public interest. Global Positioning System (GPS) found in a cost effective and technically easily manageable device that's able to capture space weather information from the orbiting satellites. Even though the data capturing has been resolved the data centralization...
Over the Southeast Asian region, strong surges of cold northeasterly winds are common during winter of the southern hemisphere. For these cold surges, the occurrence frequency is known to vary in conjunction with the El Niño-Southern Oscillation (ENSO) phenomenon. This preliminary study looks at the correlation between cold surge frequency (CSF) and two indicators of ENSO-induced anomalies — the Southern...
Total electron content (TEC) is a fundamental and most prevailing ionospheric parameter that leads to Global Positioning System (GPS) error source such as delays, poor signal or lost data. Neural Network (NN) based approaches has proven track record in ionospheric process modeling. In this work, a data preparation method was developed to perform neural network based on VTEC forecast over two stations...
Moon and sun is causative agent in the formation of tides. Tidal is a natural phenomenon caused by the gravitational force of attraction between moon and sun. The sun activity in ionospheric layer affects the variation of total electron content (TEC). This paper presents the relationship between total electron content (TEC), tidal phenomenon and the position of the moon and sun during the full moon...
In this paper we present a pre-processing stage for an automated volumetric CT stroke image diagnosis system. It concerns the automatic intensity-based 3D image registration of dynamic CT (used for CT perfusion imaging) to CT angiography (CTA) images. The dynamic CT images were acquired with a gantry tilt and hence the correct geometry is found. The tilt correction is performed implicitly and combined...
Technology advancement and low cost device development may address the challenges faced in most emergency clinics in developing countries. Surveillance and detection of disease very much dependant on the medical practitioners whom has been constrained by the number of patients and limited automation in patient monitoring. In this study a low cost Arduino supported e-Health platform based temperature,...
In this paper we present a pre-processing stage for an automated volumetric CT stroke image diagnosis system. It concerns the automatic intensity-based 3D image registration of non-contrast CT (NCCT) to CT angiography (CTA) images. The NCCT were acquired with a gantry tilt and hence they are first tilt corrected. After the tilt correction process, the NCCT images are then registered to the CTA image...
A pilot study was conducted in the stroke physiotherapy unit, Department of Rehabilitative Services, Pusat Perubatan Universiti Kebangsaan Malaysia (PPUKM) to identify the types of post stroke upper limb impairment commonly found in the Malaysian population, to improve services and physical outcome. This was an observational study focused on post stroke patients aged 50 years and above, who are actively...
Photoplethysmogram (PPG) is a non-invasive optical technique that is widely used in many cardiovascular risk assessment and monitoring applications. PPG is the measure of blood volume change recorded from finger, toe, ear lobe, forehead and other location based on the application requirements. PPG has been adopted as a potential non-invasive technique for lipid profiling among young men aged between...
A parametric model is proposed to predict the amplitude-normalized central aortic pressure (CAP) waveform from the radial photoplethysmogram (PPG). The structure of the model is linear autoregressive with exogenous input (ARX [2 2 0]). Results show that a second order model can predict the radial PPG from the normalized-CAP with a fitness value above 88%. One application of this technique is to accurately...
Knowledge in research domain is fundamental requirement in achieving proposed research outcome. Acquiring knowledge within limited time and resources found to be effective through virtual learning. The goal here is focused on designing an efficient ANGKASA research knowledge organization framework that takes the knowledge gaining process a step further. Space science is an ideal specialty for developing...
Introduction: Atherosclerosis is a condition where there are fat, cells and connective tissue deposition in the arterial wall. This may lead to reduced blood flow to the vital organs such as heart (ischemic heart disease) and brain (stroke). There is increasing prevalence of ischemic heart disease (IHD) among the young population, especially males. Carotid intima media thickness (CIMT) of the common...
Cardiovascular diseases contribute to one third of the world's mortality and morbidity, therefore early cardiovascular disease diagnosis, treatment and monitoring has become an important market. Ideally, an early diagnosis device will need to be accurate, non-invasive, low cost and operator independent. Interestingly enough, there is a wide range of non-invasive devices available, but each with a...
Diabetes risk education is the foundation in diabetes management, and it requires individualization. Such individualization entails provision of relevant and prioritized information to patients. Many current consumer health information systems are capable of providing relevant information base on the patients medical records or history, risk assessment and information prioritization, are yet to be...
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