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Multimodal Ambulatory Sleep Detection
Inadequate sleep affects health in multiple ways. Unobtrusive ambulatory methods to monitor long-term sleep patterns in large populations could be useful for health and policy decisions. This paper presents an algorithm that uses multimodal data from smartphones and wearable technologies to detect s...
Tallennettuna:
| Julkaisussa: | IEEE EMBS Int Conf Biomed Health Inform |
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| Päätekijät: | , , , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2017
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6010306/ https://ncbi.nlm.nih.gov/pubmed/29938711 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/BHI.2017.7897306 |
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