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Static Balance Digital Endpoints with Mon4t: Smartphone Sensors vs. Force Plate
Static balance tests are conducted in various clinics for diagnosis and treatment adjustment. As a result of population aging, the accessibility of these tests should be increased, in the clinic, and for remote patient examination. A number of publications have already conducted static balance evalu...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185439/ https://www.ncbi.nlm.nih.gov/pubmed/35684760 http://dx.doi.org/10.3390/s22114139 |
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author | Karlinsky, Keren Tchelet Netz, Yael Jacobs, Jeremy M. Ayalon, Moshe Yekutieli, Ziv |
author_facet | Karlinsky, Keren Tchelet Netz, Yael Jacobs, Jeremy M. Ayalon, Moshe Yekutieli, Ziv |
author_sort | Karlinsky, Keren Tchelet |
collection | PubMed |
description | Static balance tests are conducted in various clinics for diagnosis and treatment adjustment. As a result of population aging, the accessibility of these tests should be increased, in the clinic, and for remote patient examination. A number of publications have already conducted static balance evaluations using the sensors embedded in a smartphone. This study focuses on the applicability of using smartphone-based balance assessment on a large scale while considering ease of use, safety, and reliability. The Mon4t(®) app was used to acquire the postural motion using different smartphone devices, different smartphone locations, and various standing postures. The signals derived from the app were compared to the center of pressure displacement derived from a force plate. The results showed moderate to high agreement between the two methods, particularly at the tandem stance (0.69 ≤ r ≤ 0.91). Preliminary data collection was conducted on three healthy participants, followed by 50 additional healthy volunteers, aged 65+. The results demonstrated that the Mon4t app can serve as an accessible and inexpensive static balance assessment tool, both in clinical settings and for remote patient monitoring, which is key for enabling telehealth. |
format | Online Article Text |
id | pubmed-9185439 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91854392022-06-11 Static Balance Digital Endpoints with Mon4t: Smartphone Sensors vs. Force Plate Karlinsky, Keren Tchelet Netz, Yael Jacobs, Jeremy M. Ayalon, Moshe Yekutieli, Ziv Sensors (Basel) Article Static balance tests are conducted in various clinics for diagnosis and treatment adjustment. As a result of population aging, the accessibility of these tests should be increased, in the clinic, and for remote patient examination. A number of publications have already conducted static balance evaluations using the sensors embedded in a smartphone. This study focuses on the applicability of using smartphone-based balance assessment on a large scale while considering ease of use, safety, and reliability. The Mon4t(®) app was used to acquire the postural motion using different smartphone devices, different smartphone locations, and various standing postures. The signals derived from the app were compared to the center of pressure displacement derived from a force plate. The results showed moderate to high agreement between the two methods, particularly at the tandem stance (0.69 ≤ r ≤ 0.91). Preliminary data collection was conducted on three healthy participants, followed by 50 additional healthy volunteers, aged 65+. The results demonstrated that the Mon4t app can serve as an accessible and inexpensive static balance assessment tool, both in clinical settings and for remote patient monitoring, which is key for enabling telehealth. MDPI 2022-05-30 /pmc/articles/PMC9185439/ /pubmed/35684760 http://dx.doi.org/10.3390/s22114139 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Karlinsky, Keren Tchelet Netz, Yael Jacobs, Jeremy M. Ayalon, Moshe Yekutieli, Ziv Static Balance Digital Endpoints with Mon4t: Smartphone Sensors vs. Force Plate |
title | Static Balance Digital Endpoints with Mon4t: Smartphone Sensors vs. Force Plate |
title_full | Static Balance Digital Endpoints with Mon4t: Smartphone Sensors vs. Force Plate |
title_fullStr | Static Balance Digital Endpoints with Mon4t: Smartphone Sensors vs. Force Plate |
title_full_unstemmed | Static Balance Digital Endpoints with Mon4t: Smartphone Sensors vs. Force Plate |
title_short | Static Balance Digital Endpoints with Mon4t: Smartphone Sensors vs. Force Plate |
title_sort | static balance digital endpoints with mon4t: smartphone sensors vs. force plate |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185439/ https://www.ncbi.nlm.nih.gov/pubmed/35684760 http://dx.doi.org/10.3390/s22114139 |
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