Shannon Energy-Based Envelope Extraction for Heart Sound Signals

In this project, we implement envelope extraction for heart sound signals using Shannon energy with MATLAB. This process helps us better understand the characteristics and patterns of heart sound signals, providing more accurate data and guidance for cardiac disease diagnosis and treatment. The implementation involves calculating the Shannon energy envelope through signal processing techniques, which typically includes steps like signal preprocessing, energy computation using the Shannon energy formula, and envelope smoothing. By analyzing the envelope of heart sound signals, we can obtain crucial information about cardiac function and pathological changes. This research is expected to have positive impacts in the medical field, offering better strategies and methods for early prevention and treatment of heart diseases. The MATLAB code implementation would likely utilize functions like abs(), log(), and moving average filters to compute and smooth the energy envelope effectively.