Phonocardiogram Classification

Phonocardiogram Classification is a time series analysis task based on cardiac sound signals, aiming to achieve effective diagnosis and monitoring of heart diseases by identifying and classifying labels, murmurs, and clinical outcomes in phonocardiograms. This task employs advanced signal processing and machine learning techniques to extract critical features from complex cardiac sound data, providing accurate decision support for clinicians and holding significant medical application value.