Figure 2.

Data partitioning of the respiratory breathing signal. The breathing curves in the training dataset were first divided into the training part and the validation part. The training inputs (x_ti) and outputs (y_ti) of LSTM networks were generated via the sliding window technique. x_vi and y_vi represent the inputs and outputs of a pair set of internal validity data.