MetaSleepLearner: A Pilot Study on Fast Adaptation of Bio-Signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning
Identifying bio-signals based-sleep stages requires time-consuming and tedious labor of skilled clinicians. Deep learning approaches have been introduced in order to challenge the automatic sleep stage classification conundrum. However, the difficulties can be posed in replacing the clinicians with...
Main Authors: | , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2021
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Subjects: | |
Online Access: | View Fulltext in Publisher |