SingleChannelNet: A Model for Automatic Sleep Stage Classification with Raw Single-Channel EEG
D. Zhou, G. Hu, J. Zhang, J. Wang, R. Yan, F. Li, Q. Xu, L. Kettunen, Z. Chang, F. Cong
SingleChannelNet is a deep learning model that automatically classifies sleep stages from raw single-channel EEG data, achieving high accuracy without hand-crafted features or multi-modality data.
bioRxiv · Sep 21, 2020Bioengineering