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A deep learning model, named IITNet, is proposed to learn intra- and inter-epoch temporal contexts from raw single-channel EEG for automatic sleep scoring. To classify the sleep stage from half-minute EEG, called an epoch, sleep experts investigate s
Externí odkaz:
http://arxiv.org/abs/1902.06562
Publikováno v:
In Biomedical Signal Processing and Control August 2020 61
