ECG Signal Analysis with Filtering and Digital Signal Processing
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A foundational assignment on ECG signal analysis, filtering, and digital signal processing. In this project, we will examine how to analyze electrocardiogram signals, implement filters to remove noise, and apply digital signal processing techniques. These skills are crucial for understanding and diagnosing cardiac conditions. Key implementation aspects include using frequency-domain analysis with FFT algorithms, designing digital filters (such as Butterworth or bandpass filters) to eliminate baseline wander and powerline interference, and applying signal processing functions from libraries like SciPy or MATLAB's Signal Processing Toolbox. Through completing this assignment, students will deepen their understanding of ECG signal processing and enhance their practical skills in biomedical signal analysis, including waveform feature extraction using peak detection algorithms and heart rate variability analysis.
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