Review of Machine Learning Techniques in Sleep Staging using Physiological Signals
Author:
Affiliation:
1. Sri Sri University,Faculty of Emerging Technology,Cuttack,Odisha
2. Pandit Deendayal Energy University,Information and Communication Technology,Gandhinagar,Gujarat
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10455089/10455098/10455301.pdf?arnumber=10455301
Reference25 articles.
1. Self-supervised Contrastive Learning for EEG-based Sleep Staging
2. An accurate sleep stages classification system using a new class of optimally time-frequency localized three-band wavelet filter bank
3. A new automatic sleep staging system based on statistical behavior of local extrema using single channel EEG signal
4. Achieving Accurate Automatic Sleep Staging on Manually Pre-processed EEG Data Through Synchronization Feature Extraction and Graph Metrics
5. A Novel Multi-Class EEG-Based Sleep Stage Classification System
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