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Multimodal Ambulatory Sleep Detection Using LSTM Recurrent Neural Networks
Unobtrusive and accurate ambulatory methods are needed to monitor long-term sleep patterns for improving health. Previously developed ambulatory sleep detection methods rely either in whole or in part on self-reported diary data as ground truth, which is a problem since people often do not fill them...
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| Veröffentlicht in: | IEEE J Biomed Health Inform |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6837840/ https://ncbi.nlm.nih.gov/pubmed/30176613 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/JBHI.2018.2867619 |
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