FEATURE EXTRACTION AND VISUALIZATION OF HEART SOUND
In this step of heart sound analysis, a bandpass IIR filter is designed and applied to the audio signal to isolate key frequency components relevant to heart murmur detection. The filter is configured with an order of 8 and a half-power frequency range of 20 Hz to 600 Hz, effectively targeting the frequency band where heart sounds typically occur. By using zero-phase filtering with the filtfilt function, the signal is processed without introducing phase distortion, preserving the waveform’s shape. After filtering, the cleaned heart sound signal is plotted against time, providing a clear visual representation of the filtered waveform. This filtered signal can then be used for further feature extraction, such as identifying specific heart sound components like S1, S2, and potential murmurs. The visualization aids in understanding the time-domain characteristics of the heart sounds, which are crucial for feature extraction and classification tasks.
MATLAB CODE
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