2-Channel EEG Sleep Staging Algorithm using CNN-LSTM Architecture ... The following diagram is a high level description of the model architecture. Note that ch1/ch2 refers to channel 1 or channel 2, ...

Firstly, an LSTM deep neural network is trained, and a well-trained LSTM network is obtained by optimizing the parameters of LSTM through a grid search algorithm. Secondly, the initial input weights ...

Abstract: Aiming at the problems of large amount of data collected by airborne sensors, lack of data association, and low processing efficiency, this paper proposes a parallel LSTM algorithm model ...