Abdul Rahim Abdullah

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BACKGROUND AND PURPOSE Some patients with mild or improving ischemic stroke symptoms do not receive intravenous tissue plasminogen activator (tPA) because they look "too good to treat" (TGT); however, some have poor outcomes. METHODS We retrospectively analyzed data from a prospective single-center study between 2002 and 2004. TGT patients were those(More)
BACKGROUND Symptomatic intracerebral hemorrhage (sICH) is the most devastating complication of thrombolytic therapy for acute stroke. It is not clear whether patients with sICH continue to bleed after diagnosis, nor has the most appropriate treatment been determined. METHODS We performed a retrospective analysis of our prospectively collected Get With the(More)
OBJECTIVE To determine the characteristics of patients with stroke/TIA whose admission low-density lipoprotein (LDL) levels were above goals defined by National Cholesterol Education Program Adult Treatment Panel (NCEP-ATPIII) guidelines. METHODS From January 1, 2003, to June 30, 2005, there were 1,212 discharges (1,033 stroke, 179 TIA), of whom(More)
Bilinear time-frequency distributions (TFDs) are developed to represent time-varying signal jointly in time and frequency representation (TFR). Since the TFDs offer good time and frequency resolution, they are appropriate to analyze power quality signals that consist of magnitude variation and multiple frequencies. However, the TFD suffer from cross-terms(More)
Power quality has become a great concern to all electricity consumers. Poor power quality can cause equipment failure, data and economical losses. An automated monitoring system is needed to ensure signal quality, reduce diagnostic time and rectify failures. This paper presents the analysis of power quality signals using frequency domain smooth-windowed(More)
Periodogram is a graph showing the power spectrum density (PSD) of a signal, having power by frequency (dB/Hz) in y-axis and frequency (Hz) in x-axis. In other words it shows the corresponding power of the frequency components of the signal. Abnormalities in electrocardiograms (ECGs) show different frequency components in their power spectrum density. In(More)
This study proposed automatic detection and segmentation of brain lesion in diffusion-weighted magnetic resonance images (DWI) based on Fuzzy C-Means (FCM). Due to noises and intensity inhomogeneity, FCM technique fails in producing accurate results. Active contour and correlation template are integrated to overcome this problem. The brain lesions are acute(More)
This paper describes on developing a dynamic humanoid model of sit-to-stand (STS) movement. Visual Nastran software is used to develop a humanoid model, while the humanoid movement is controlled by MATLAB/Simulink to perform sit-to-stand activity. Two control strategies are implemented in this study, which are PID controller and fuzzy logic control (FLC).(More)
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