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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...
Autores principales: | 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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7794504/ https://www.ncbi.nlm.nih.gov/pubmed/33420133 http://dx.doi.org/10.1038/s41598-020-79217-x |
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