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Self-supervised learning of wrist-worn daily living accelerometer data improves the automated detection of gait in older adults
Abstract Progressive gait impairment is common among aging adults. Remote phenotyping of gait during daily living has the potential to quantify gait alterations and evaluate the effects of interventions that may prevent disability in the aging population. Here, we developed ElderNet, a self-supervis...
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| Publicado no: | Scientific Reports |
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| Main Authors: | , , , , , , , , , , , , , , , |
| Formato: | Artigo |
| Publicado em: |
Nature Portfolio
2024-09-01
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| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1038/s41598-024-71491-3 |
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