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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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Bibliografski detalji
Izdano u:Sensors (Basel)
Glavni autori: Greene, Barry R., McManus, Killian, Ader, Lilian Genaro Motti, Caulfield, Brian
Format: Artigo
Jezik:Inglês
Izdano: MDPI 2021
Teme:
Online pristup: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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