Performance comparison of machine learning techniques in sleep scoring based on wavelet features and neighboring component analysis
Introduction Sleep scoring is an important step in the treatment of sleep disorders. Manual annotation of sleep stages is time-consuming and experience-relevant and, therefore, needs to be done using machine learning techniques. Methods Sleep-EDF polysomnography was used in this study as a dataset....
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2018-07-01
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| Series: | PeerJ |
| Subjects: | |
| Online Access: | https://peerj.com/articles/5247.pdf |