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Efficient embedded sleep wake classification for open-source actigraphy
This study presents a thorough analysis of sleep/wake detection algorithms for efficient on-device sleep tracking using wearable accelerometric devices. It develops a novel end-to-end algorithm using convolutional neural network applied to raw accelerometric signals recorded by an open-source wrist-...
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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7801620/ https://ncbi.nlm.nih.gov/pubmed/33431918 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-79294-y |
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