Norlaili Mat Safri

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Since years, the using of telemedicine has increased although there are some technical issues related to standard and quality. In order to improve the telemedicine quality of service, a robust wireless connection between medical devices and telecommunication network is required. Unfortunately, many medical devices were developed without possibility to(More)
Ventricular arrhythmias, especially ventricular fibrillation, is a type of arrhythmias that can cause sudden death. The paper applies semantic mining approach to electrocardiograph (ECG) signals in order to extract its significant characteristics (frequency, damping coefficient and input signal) to be used for classification purpose. Real data from an(More)
The effects of visual stimuli on cortico-spinal synchronization were investigated by measuring the coherence between electroencephalogram (EEG) and electromyogram (EMG) during isometric contraction of the first dorsal interosseous muscle of the right hand. Because a spinal motoneuron and the corresponding muscle fibers form a motor unit with one-to-one(More)
Accurately differentiating between ventricular fibrillation (VF) and ventricular tachycardia (VT) episodes is crucial in preventing potentially fatal misinterpretations. If VT is misinterpreted as VF, the patient will receive an unnecessary shock that could damage the heart; conversely, if VF is incorrectly interpreted as VT, the result will be(More)
Ventricular tachycardia (VT) and ventricular fibrillation (VF) are potentially life-threatening forms of cardiac arrhythmia. Fast and accurate detection of these conditions can save lives. We used semantic mining to characterize VT and VF episodes by extracting three significant parameters (frequency, damping coefficient and input signal) from(More)
BACKGROUND Atrial fibrillation (AF) can cause the formation of blood clots in the heart. The clots may move to the brain and cause a stroke. Therefore, this study analyzed the ECG features of AF and normal sinus rhythm signals for AF recognition which were extracted by using a second-order dynamic system (SODS) concept. OBJECTIVE To find the appropriate(More)
Proper rhythm of the heart of a human is of utmost importance for his survival so that there is proper oxygen supply throughout the body for proper functioning of all body parts. However, Ventricular Tachycardia(VT) and Ventricular Fibrillation(VF) are irregular cardiac rhythms that are life threatening and hence their accurate detection is very necessary.(More)
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ECG signals show the heart's condition for each individual. ECG signal's characteristic can be extracted by using several methods such as P-wave conditions, RR-interval, fast-Fourier transform, wavelet transform, and etc. This study shows the relationship between features extraction of ECG signals by using second-order dynamic system (SODS) technique and(More)
Wireless sensor network (WSN) is proposed to be implemented in telemedicine. However, there are some requirements for WSN design in order to be implemented in this area. One of the requirements is data reliability in term of congestion management. For medical device network, there are other parameters to be counted besides data rate; congestion degree,(More)