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...

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Bibliografiset tiedot
Julkaisussa:IEEE EMBS Int Conf Biomed Health Inform
Päätekijät: Chen, Weixuan, Sano, Akane, Martinez, Daniel Lopez, Taylor, Sara, McHill, Andrew W., Phillips, Andrew J. K., Barger, Laura, Klerman, Elizabeth B., Picard, Rosalind W.
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: 2017
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Article
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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