Research Article
Deep Learning versus Professional Healthcare Equipment: A Fine-Grained Breathing Rate Monitoring Model
Table 2
Model parameters. The convolutional layer parameters are denoted as “〈convolutional type〉 conv 〈receptive field size〉 − 〈number of channels〉.” Also, the parameters of recurrent layer are denoted as “〈uni or bi〉 − 〈number of hidden units〉,” where “uni” denoted unidirectional recurrent and “bi” denoted bidirectional recurrent. The ReLU activation function is not shown for brevity.
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