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Direct application of an ECG-based sleep staging algorithm on reflective photoplethysmography data decreases performance
OBJECTIVE: The maturation of neural network-based techniques in combination with the availability of large sleep datasets has increased the interest in alternative methods of sleep monitoring. For unobtrusive sleep staging, the most promising algorithms are based on heart rate variability computed f...
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| 出版年: | BMC Res Notes |
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| 主要な著者: | , , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7653690/ https://ncbi.nlm.nih.gov/pubmed/33168051 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13104-020-05355-0 |
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