Deep Learning versus Professional Healthcare Equipment: A Fine-Grained Breathing Rate Monitoring Model

Figure 1

The deep learning framework of our model. The model is a bidirectional RNN, which begins with three convolutional layers (the third layer is mean pooling) and is followed by four fully connected layers. The data are translated into spectrogram as input to the network and are trained end to end.