Abstract:
In order to realize the automatic classification of heart sound signals, the gradient boosting tree LightGBM is used to identify and classify the heart sound signals. Firstly, the heart sound signal is segmented, and different states in the heart beat cycle are identified. Then, the segments of different state periods in each heart beat are analyzed and processed from the time domain and the frequency domain respectively, and features are extracted from the time domain and the frequency domain. Finally, LightGBM is used to classify the signals.The experimental results show that the accuracy of recognition of heart sound signals is 91.2%.
