Article

A CNN-Transformer Deep Learning Model for Real-time Sleep Stage Classification in an Energy-Constrained Wireless Device

2022-11-22

Abstract excerpt

This paper proposes a deep learning (DL) model for automatic sleep stage classification based on single-channel EEG data. The DL model features a convolutional neural network (CNN) and transformers. The model was designed to run on energy and memory-constrained devices for real-time operation with local processing. The Fpz-Cz EEG signals from a publicly available Sleep-EDF dataset are used to train and test the mo...

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Literature Corpus work: dd203809-e7a5-5aa0-b3a9-64a61bdf5ab1
DOI: 10.1101/2022.11.21.22282544

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