Heart sound segmentation is a prerequisite for accurate heart sound classification.Aimed at heart sound segmentation,an algorithm based on Bi-LSTM and state constraints is proposed.The optimal parameters of Bi-LSTM network were determined by grid method,and the heart sound state recognition model was trained.The duration of the heart sound state predicted by Bi-LSTM was counted,and the autocorrelation parameters were calculated.The autocorrelation parameters and heart sound inherent state transition rules were used to constrain the predicted heart sound state.Using the five-fold cross-validation method to test on the PhysioNet/CinC2016 data set,the algorithm has better overall performance than similar algorithms.
维普
万方数据