Sleep classification from wrist-worn accelerometer data using random forests

Accurate and low-cost sleep measurement tools are needed in both clinical and epidemiological research. To this end, wearable accelerometers are widely used as they are both low in price and provide reasonably accurate estimates of movement. Techniques to classify sleep from the high-resolution acce...

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Pubblicato in:Sci Rep
Autori principali: Sundararajan, Kalaivani, Georgievska, Sonja, te Lindert, Bart H. W., Gehrman, Philip R., Ramautar, Jennifer, Mazzotti, Diego R., Sabia, Séverine, Weedon, Michael N., van Someren, Eus J. W., Ridder, Lars, Wang, Jian, van Hees, Vincent T.
Natura: Artigo
Lingua:Inglês
Pubblicazione: Nature Publishing Group UK 2021
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Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7794504/
https://ncbi.nlm.nih.gov/pubmed/33420133
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-79217-x
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