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Unsupervised Assessment of Balance and Falls Risk Using a Smartphone and Machine Learning
Assessment of health and physical function using smartphones (mHealth) has enormous potential due to the ubiquity of smartphones and their potential to provide low cost, scalable access to care as well as frequent, objective measurements, outside of clinical environments. Validation of the algorithm...
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| Pubblicato in: | Sensors (Basel) |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8309936/ https://ncbi.nlm.nih.gov/pubmed/34300509 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21144770 |
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