Extracting Envelope of Heart Sound Signals Using Hilbert Transform

This program utilizes the Hilbert transform to extract the envelope of heart sound signals. The implementation specifically involves applying the Hilbert transform to the input signal, which creates an analytic signal from which the instantaneous amplitude (envelope) can be derived using the absolute value function. The algorithm workflow includes signal preprocessing, Hilbert transform application using MATLAB's hilbert() function, and envelope extraction through magnitude calculation of the analytic signal. This tool was developed to assist physicians and researchers in better analyzing and understanding the characteristics of heart sound signals. The Hilbert transform is a mathematical method that decomposes a signal into its envelope and modulated components. By implementing this transform, we can accurately extract the envelope of heart sound signals, enabling more precise analysis of signal features and abnormalities. The program employs digital signal processing techniques to handle real-time or recorded heart sound data, with options for parameter adjustment to optimize envelope detection for different signal qualities. The development of this program aims to provide a convenient and efficient tool that allows medical professionals and researchers to conduct deeper investigations into heart sound signals. The code includes modular functions for signal input, transform processing, and visualization, making it adaptable for various research scenarios. This implementation contributes valuable information and insights for the diagnosis and treatment of cardiac diseases, with potential extensions for automated anomaly detection and quantitative analysis features.