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Detection of Fiducial Points in ECG Recordings Using Machine Learning
EEE-C-14
Ron Alkobi; ronalkobi123@gmail.com Ariel Cohen; trhtkf@gmail.com
Advisor: Dr. Tom Trigano
SCE - Shamoon College of Engineering, Ashdod
Delineation is a critical part of the analysis of electrocardiogram (ECG) signals. Its aim is to locate each part of the ECG pulses to improve the diagnosis of numerous heart problems. In this context, adaptive trend filtering (ATF) is a machine-learning method which provides excellent results on pulse-peak localization. However, it does not provide insights on the pulse boundaries. The objective of this project was therefore to improve ATF sufficiently to identify full ECG pulse patterns. The improved algorithm was tested on medical databases and was compared with current methods. The findings showed promise as part of an advanced monitoring system, to enable a reliable preliminary diagnosis in quasi real-time for medical applications.
Keywords: ECG signal processing, machine learning, trend filtering
Simulation of a Superheterodyne Transceiver
EEE-C-15
Moran Sapir; moransapir1234@gmail.com
Advisor: Mr. Uzi Chester
SCE - Shamoon College of Engineering, Ashdod
This project simulated optimization of a superheterodyne transceiver system, which combines amplification with frequency mixing for microwave communications. The goal was to examine how different parameters affect signal quality, identifying issues such as harmonics, distortions, and attenuation. Our project used MATLAB to analyze performance of the components. Key components studied included low noise amplifiers (LNA) for optimizing signal-to-noise ratio and impedance matching; mixers producing intermediate frequencies; and power amplifiers (classes A, B, AB, C) for balancing linearity and efficiency. The MATLAB simulations enabled performance assessment and optimization and provided insights for resolving practical issues, enhancing component linearity, and achieving robust signal processing crucial in communication and radar applications.
Keywords: MATLAB, simulation, superheterodyne transmitter