Enhancing Healthcare with EOG: A Novel Approach to Sleep Stage Classification
Author:
Affiliation:
1. International Institute of Information Technology,Cognitive Science Lab,Hyderabad,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10445798/10445803/10446703.pdf?arnumber=10446703
Reference17 articles.
1. Rules for Scoring Respiratory Events in Sleep: Update of the 2007 AASM Manual for the Scoring of Sleep and Associated Events
2. Two-stage wavelet shrinkage and EEG-EOG signal contamination model to realize quantitative validations for the artifact removal from multiresource biosignals
3. Dealing with artifacts: The EOG contamination of the event-related brain potential
4. EOGNET: A Novel Deep Learning Model for Sleep Stage Classification Based on Single-Channel EOG Signal
5. DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG
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