Deep Learning, Artificial Intelligence, Heart Sounds, Sound Classification, Cardiology.
by the CNN model with an attention mechanism (using a sigmoid function). For RNN, the best results for LSTM–RNN and GRU–RNN are 42.6% UAR and 46.8% UAR, respectively. Confusion Matrices The best CNN and GRU–RNN models outperform the best LSTM–RNN model in recognising the ‘Mild’ type of heart