ECG Signal Wavelet Analysis Demonstration System

This course design project presents a Wavelet Analysis Demonstration System for ECG signals implemented in MATLAB. The system is designed to analyze and visualize electrocardiogram (ECG) signals sourced from MIT-collected raw datasets. ECG signals represent the electrical activity of the human heart, and their analysis provides crucial insights into cardiac health conditions. The implementation employs wavelet transform techniques, a powerful signal processing method that decomposes signals into different frequency components using wavelet functions like db4 or sym8. This decomposition enables better characterization of signal features and temporal variations. The MATLAB implementation likely includes key functions such as wavedec for wavelet decomposition, wrcoef for reconstruction, and various plotting functions for visualizing multi-resolution analysis results. This demonstration system serves as an educational tool to help learners deeply understand ECG signal analysis methodologies and wavelet transform principles. Through hands-on interaction with the system, students can perform practical data processing operations including signal denoising, feature extraction, and multi-scale analysis. The implementation probably incorporates GUI components for interactive parameter adjustment and real-time visualization of analysis results. This course design holds significant educational value by enabling students to bridge theoretical knowledge with practical application, enhancing their understanding of signal processing concepts and wavelet analysis techniques through actual ECG data processing experiments.