Cargando…
Digital Analysis of Sit-to-Stand in Masters Athletes, Healthy Old People, and Young Adults Using a Depth Sensor
The aim of this study was to compare the performance between young adults (n = 15), healthy old people (n = 10), and masters athletes (n = 15) using a depth sensor and automated digital assessment framework. Participants were asked to complete a clinically validated assessment of the sit-to-stand te...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5872228/ https://www.ncbi.nlm.nih.gov/pubmed/29498644 http://dx.doi.org/10.3390/healthcare6010021 |
_version_ | 1783309790727897088 |
---|---|
author | Leightley, Daniel Yap, Moi Hoon |
author_facet | Leightley, Daniel Yap, Moi Hoon |
author_sort | Leightley, Daniel |
collection | PubMed |
description | The aim of this study was to compare the performance between young adults (n = 15), healthy old people (n = 10), and masters athletes (n = 15) using a depth sensor and automated digital assessment framework. Participants were asked to complete a clinically validated assessment of the sit-to-stand technique (five repetitions), which was recorded using a depth sensor. A feature encoding and evaluation framework to assess balance, core, and limb performance using time- and speed-related measurements was applied to markerless motion capture data. The associations between the measurements and participant groups were examined and used to evaluate the assessment framework suitability. The proposed framework could identify phases of sit-to-stand, stability, transition style, and performance between participant groups with a high degree of accuracy. In summary, we found that a depth sensor coupled with the proposed framework could identify performance subtleties between groups. |
format | Online Article Text |
id | pubmed-5872228 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-58722282018-03-29 Digital Analysis of Sit-to-Stand in Masters Athletes, Healthy Old People, and Young Adults Using a Depth Sensor Leightley, Daniel Yap, Moi Hoon Healthcare (Basel) Article The aim of this study was to compare the performance between young adults (n = 15), healthy old people (n = 10), and masters athletes (n = 15) using a depth sensor and automated digital assessment framework. Participants were asked to complete a clinically validated assessment of the sit-to-stand technique (five repetitions), which was recorded using a depth sensor. A feature encoding and evaluation framework to assess balance, core, and limb performance using time- and speed-related measurements was applied to markerless motion capture data. The associations between the measurements and participant groups were examined and used to evaluate the assessment framework suitability. The proposed framework could identify phases of sit-to-stand, stability, transition style, and performance between participant groups with a high degree of accuracy. In summary, we found that a depth sensor coupled with the proposed framework could identify performance subtleties between groups. MDPI 2018-03-02 /pmc/articles/PMC5872228/ /pubmed/29498644 http://dx.doi.org/10.3390/healthcare6010021 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Leightley, Daniel Yap, Moi Hoon Digital Analysis of Sit-to-Stand in Masters Athletes, Healthy Old People, and Young Adults Using a Depth Sensor |
title | Digital Analysis of Sit-to-Stand in Masters Athletes, Healthy Old People, and Young Adults Using a Depth Sensor |
title_full | Digital Analysis of Sit-to-Stand in Masters Athletes, Healthy Old People, and Young Adults Using a Depth Sensor |
title_fullStr | Digital Analysis of Sit-to-Stand in Masters Athletes, Healthy Old People, and Young Adults Using a Depth Sensor |
title_full_unstemmed | Digital Analysis of Sit-to-Stand in Masters Athletes, Healthy Old People, and Young Adults Using a Depth Sensor |
title_short | Digital Analysis of Sit-to-Stand in Masters Athletes, Healthy Old People, and Young Adults Using a Depth Sensor |
title_sort | digital analysis of sit-to-stand in masters athletes, healthy old people, and young adults using a depth sensor |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5872228/ https://www.ncbi.nlm.nih.gov/pubmed/29498644 http://dx.doi.org/10.3390/healthcare6010021 |
work_keys_str_mv | AT leightleydaniel digitalanalysisofsittostandinmastersathleteshealthyoldpeopleandyoungadultsusingadepthsensor AT yapmoihoon digitalanalysisofsittostandinmastersathleteshealthyoldpeopleandyoungadultsusingadepthsensor |