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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Detalhes bibliográficos
Publicado no:IEEE EMBS Int Conf Biomed Health Inform
Main Authors: Chen, Weixuan, Sano, Akane, Martinez, Daniel Lopez, Taylor, Sara, McHill, Andrew W., Phillips, Andrew J. K., Barger, Laura, Klerman, Elizabeth B., Picard, Rosalind W.
Formato: Artigo
Idioma:Inglês
Publicado em: 2017
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Article
Acesso em linha: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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