Quantifying the effects of sleep on sensor-derived variables from upper limb accelerometry in people with and without upper limb impairment
Abstract Background Despite the promise of wearable sensors for both rehabilitation research and clinical care, these technologies pose significant burden on data collectors and analysts. Investigations of factors that may influence the wearable sensor data processing pipeline are needed to support...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BMC
2024-05-01
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| coleção: | Journal of NeuroEngineering and Rehabilitation |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1186/s12984-024-01384-z |
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