Computation of steady responses of periodically excited nonlinear systems by extended spectral analysis method.

Ph.D. - Doctoral Progra

Quasi Resonant Flyback Topology Based LCD TV Power Supply Board Design and Power Loss Analysis

Usage of the consumer electronics products such as TVs has increased rapidly with the emerging technological developments recently, hence limiting the power consumption of such devices have become more and more crucial. Switched Mode Power Supply (SMPS) topologies that allow higher efficiency than linear supplier became prevalent after the 1960s. Flyback converter is one of the SMPS topologies and very popular in low power applications because of multiple outputs, design simplicity and low cost. In this work, quasi resonant switching based flyback converter is analyzed, design equations extracted and designed with given parameters. Also power loss model of converter is analyzed and verified with practically results

Denoising Baseline Signal of Electrocardiogram using Separable Wavelets Bases

The electrocardiogram signals are affected by the baseline wandering noise. In this paper, the separable wavelet transform method is used for denoising of the baseline wandering signals. To that end, the one-dimensional signal is set to the two-dimensional matrix via lexicographic ordering. And then, adaptive and wavelet filters is used to remove baseline wandering noise. The proposed method is applied to the wide range of data set from the MIT-BIH arrhythmia database. The performance of the method is assessed by common quantitative metrics

Detection Methods of Pseudo and Epileptic Seizures from EEG signals: A Short Review

The seizure is a chain of abnormal neurological functions caused by the abnormal electrical discharge of neurons in the brain. The most common is epileptic seizures (ES) which are caused by sudden and uncontrolled electrical discharges in brain cells. A routine 20-minute electroencephalogram (EEG) determines whether the brain's electrical activity is normal, or the presence of an electrical focus leading to epilepsy. However, the only EEG test by itself is not enough to establish a diagnosis of epileptic seizures. Another seizure known as Psychogenic Nonepileptic Seizures (PNES) is not involuntary electrical abnormal discharges results from psychological conditions rather than brain function. PNES can mimic the many manifestations of epilepsy. The similarity of these two types of seizures poses diagnostic challenges that often lead to delayed diagnosis of PNES. The diagnosis of PNES also involves high-cost hospital admission and monitoring using video-electroencephalogram machines (VEM). Due to economic feasibility and the tediousness of VEM, alternative methods are being researched to differentiate PNES and ES. In this study, we present a summary of the methods and obtained results for epileptic and non-epileptic (pseudo) seizure detection in the literature