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Feasibility of Sensor Technology for Balance Assessment in Home Rehabilitation Settings
The increased use of sensor technology has been crucial in releasing the potential for remote rehabilitation. However, it is vital that human factors, that have potential to affect real-world use, are fully considered before sensors are adopted into remote rehabilitation practice. The smart sensor d...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8272234/ https://www.ncbi.nlm.nih.gov/pubmed/34203571 http://dx.doi.org/10.3390/s21134438 |
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author | Kelly, Daniel Esquivel, Karla Muñoz Gillespie, James Condell, Joan Davies, Richard Karim, Shvan Nevala, Elina Alamäki, Antti Jalovaara, Juha Barton, John Tedesco, Salvatore Nordström, Anna |
author_facet | Kelly, Daniel Esquivel, Karla Muñoz Gillespie, James Condell, Joan Davies, Richard Karim, Shvan Nevala, Elina Alamäki, Antti Jalovaara, Juha Barton, John Tedesco, Salvatore Nordström, Anna |
author_sort | Kelly, Daniel |
collection | PubMed |
description | The increased use of sensor technology has been crucial in releasing the potential for remote rehabilitation. However, it is vital that human factors, that have potential to affect real-world use, are fully considered before sensors are adopted into remote rehabilitation practice. The smart sensor devices for rehabilitation and connected health (SENDoc) project assesses the human factors associated with sensors for remote rehabilitation of elders in the Northern Periphery of Europe. This article conducts a literature review of human factors and puts forward an objective scoring system to evaluate the feasibility of balance assessment technology for adaption into remote rehabilitation settings. The main factors that must be considered are: Deployment constraints, usability, comfort and accuracy. This article shows that improving accuracy, reliability and validity is the main goal of research focusing on developing novel balance assessment technology. However, other aspects of usability related to human factors such as practicality, comfort and ease of use need further consideration by researchers to help advance the technology to a state where it can be applied in remote rehabilitation settings. |
format | Online Article Text |
id | pubmed-8272234 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-82722342021-07-11 Feasibility of Sensor Technology for Balance Assessment in Home Rehabilitation Settings Kelly, Daniel Esquivel, Karla Muñoz Gillespie, James Condell, Joan Davies, Richard Karim, Shvan Nevala, Elina Alamäki, Antti Jalovaara, Juha Barton, John Tedesco, Salvatore Nordström, Anna Sensors (Basel) Article The increased use of sensor technology has been crucial in releasing the potential for remote rehabilitation. However, it is vital that human factors, that have potential to affect real-world use, are fully considered before sensors are adopted into remote rehabilitation practice. The smart sensor devices for rehabilitation and connected health (SENDoc) project assesses the human factors associated with sensors for remote rehabilitation of elders in the Northern Periphery of Europe. This article conducts a literature review of human factors and puts forward an objective scoring system to evaluate the feasibility of balance assessment technology for adaption into remote rehabilitation settings. The main factors that must be considered are: Deployment constraints, usability, comfort and accuracy. This article shows that improving accuracy, reliability and validity is the main goal of research focusing on developing novel balance assessment technology. However, other aspects of usability related to human factors such as practicality, comfort and ease of use need further consideration by researchers to help advance the technology to a state where it can be applied in remote rehabilitation settings. MDPI 2021-06-28 /pmc/articles/PMC8272234/ /pubmed/34203571 http://dx.doi.org/10.3390/s21134438 Text en © 2021 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 Kelly, Daniel Esquivel, Karla Muñoz Gillespie, James Condell, Joan Davies, Richard Karim, Shvan Nevala, Elina Alamäki, Antti Jalovaara, Juha Barton, John Tedesco, Salvatore Nordström, Anna Feasibility of Sensor Technology for Balance Assessment in Home Rehabilitation Settings |
title | Feasibility of Sensor Technology for Balance Assessment in Home Rehabilitation Settings |
title_full | Feasibility of Sensor Technology for Balance Assessment in Home Rehabilitation Settings |
title_fullStr | Feasibility of Sensor Technology for Balance Assessment in Home Rehabilitation Settings |
title_full_unstemmed | Feasibility of Sensor Technology for Balance Assessment in Home Rehabilitation Settings |
title_short | Feasibility of Sensor Technology for Balance Assessment in Home Rehabilitation Settings |
title_sort | feasibility of sensor technology for balance assessment in home rehabilitation settings |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8272234/ https://www.ncbi.nlm.nih.gov/pubmed/34203571 http://dx.doi.org/10.3390/s21134438 |
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