Heart Sound Time-Frequency Analysis Using Short-Time Fourier Transform Implementation

This program utilizes the Short-Time Fourier Transform (STFT) technique to perform comprehensive time-frequency analysis of heart sounds. STFT is a fundamental signal processing method that decomposes signals into their constituent frequency components over time segments, providing valuable insights into frequency characteristics and temporal variations. By analyzing both temporal and spectral features of heart sounds, this implementation enables more accurate assessment of cardiac health conditions, offering clinicians enhanced diagnostic support. The algorithm employs windowing functions (typically Hamming or Hanning windows) to segment the heart sound signal into short time frames, followed by Fourier transform application to each segment. Key implementation aspects include: - Window size optimization for balancing time-frequency resolution - Overlap-add processing to maintain signal continuity - Spectral magnitude calculation for frequency component visualization - Time-frequency matrix generation for comprehensive analysis This STFT-based approach ensures efficient and precise processing of cardiac signals, serving as a crucial tool for medical research and clinical diagnostics by providing detailed spectrogram representations that reveal pathological patterns in heart sounds.