Squeeze-Excite Fusion Based Multimodal Neural Network for Sleep Stage Classification with Flexible EEG/ECG Signal Acquisition Circuit
Author:
Affiliation:
1. Nanyang Technological University,School of Electrical and Electronic Engineering,Republic of Singapore
2. Technology and Research (A*STAR),Institute of Microelectronics (IME), Agency for Science,Republic of Singapore
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10557746/10557828/10557984.pdf?arnumber=10557984
Reference26 articles.
1. National Sleep Foundation’s sleep time duration recommendations: methodology and results summary
2. Overview of polysomnography in adults;Kramer,2018
3. Clinician-Focused Overview and Developments in Polysomnography
4. The aasm manual for the scoring of sleep and associated events;Berry;Rules, Terminology and Technical Specifications, Darien, Illinois, American Academy of Sleep Medicine,2012
5. Single‐channel EEG classification of sleep stages based on REM microstructure
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