EEG signal processing with separable convolutional neural network for automatic scoring of sleeping stage
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DOI: 10.1016/j.neucom.2020.05.085
Abstract: Abstract Nowadays, among the Deep Learning works, there is a tendency to develop networks with millions of trainable parameters. However, this tendency has two main drawbacks: overfitting and resource consumption due to the low-quality features… read more here.
Keywords: network; scoring sleeping; eeg signal; signal processing ... See more keywords