الفهرس 
Chapter 1 INTRODUCTIONOnly 14 pages are availabe for public view
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Abstract
”ECG is corrupted by various noises such as baseline wander, channel noise, Electromyogram (EMG) noise, and power line interference (PLI). These noises make diagnosis difficult. In this thesis, we implement an inexpensive, portable device that can remove noise from the corrupted ECG signals with high performance, speed, and privacy. First, we apply a Single Node Reservoir Computing (SNRC) architecture to clean the corrupted ECG signal with high performance. Second, we implement SNRC technique on a portable inexpensive FPGA device that enables us to achieve high speed and privacy. Finally, we improve the SNRC technique by introducing a Multi-Node Reservoir Computing (MNRC) architecture to minimize the effect of the typical ECG noises. we simulate five noises: the Electromyogram (EMG) noise, the Additive White Gaussian (AWGN), the Power Line Interference (PLI), and the colored noises (blue and violet) with SNRC and MNRC techniques. To evaluate our technique, we use three performance metrics, namely, the output SNR improvement (SNRimp), the mean square error (MSE), and the percentage root mean square difference (PRD). The data is collected from the Massachusetts Institute of Technology-Boston’s Beth Israel Hospital (MIT-BIH) arrhythmia database.