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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...
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| Publicat a: | PeerJ |
|---|---|
| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
PeerJ Inc.
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6064207/ https://ncbi.nlm.nih.gov/pubmed/30065866 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj.5247 |
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