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Feasibility of wearable devices and machine learning for sleep classification in children with Rett syndrome: A pilot study
Sleep is vital to many processes involved in the well-being and health of children; however, it is estimated that 80% of children with Rett syndrome suffer from sleep disorders. Caregiver reports and questionnaires, which are the current method of studying sleep, are prone to observer bias and misse...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
SAGE Publications
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10399268/ https://www.ncbi.nlm.nih.gov/pubmed/37545628 http://dx.doi.org/10.1177/20552076231191622 |