Detection of Postural Control in Young and Elderly Adults Using Deep and Machine Learning Methods with Joint–Node Plots

Postural control decreases with aging. Thus, an efficient and accurate method of detecting postural control is needed. We enrolled 35 elderly adults (aged 82.06 ± 8.74 years) and 20 healthy young adults (aged 21.60 ± 0.60 years) who performed standing tasks for 40 s, performed six times. The coordin...

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Detalles Bibliográficos
Autores principales: Lee, Posen, Chen, Tai-Been, Wang, Chi-Yuan, Hsu, Shih-Yen, Liu, Chin-Hsuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8124823/
https://www.ncbi.nlm.nih.gov/pubmed/34063144
http://dx.doi.org/10.3390/s21093212

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8124823/
https://www.ncbi.nlm.nih.gov/pubmed/34063144
http://dx.doi.org/10.3390/s21093212

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