Validation of Smartphone Sway Analysis for Fall Prevention

Analysis of the balance and sway of the elderly remains a field continuously studied for additional means of assessing the risks of falls. Almost 50% of falls among the elderly lead to serious injuries, and falls are the leading cause of death for the elderly. Thus, the development of a convenient m...

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Autores principales:	Matthew Cimera, Arkady Voloshin
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	sway smartphone fall elderly Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/fa2c67cb030742fa94ea85de6f915e6f
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spelling	oai:doaj.org-article:fa2c67cb030742fa94ea85de6f915e6f2021-11-25T16:32:11ZValidation of Smartphone Sway Analysis for Fall Prevention10.3390/app1122105772076-3417https://doaj.org/article/fa2c67cb030742fa94ea85de6f915e6f2021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/10577https://doaj.org/toc/2076-3417Analysis of the balance and sway of the elderly remains a field continuously studied for additional means of assessing the risks of falls. Almost 50% of falls among the elderly lead to serious injuries, and falls are the leading cause of death for the elderly. Thus, the development of a convenient method to assess the risks of falling would be beneficial in helping to diminish these risks. We recorded the sway data by using the widely acceptable force plate and simultaneously compared it to the angular orientation measured by a cell phone’s accelerometer attached to the subject. It was found that the correlation of the average path length and average velocity between the results from the force plate and the phone application were 0.83 and 0.86 respectively. Overall, the direction of the strongest correlation was in the anterior–posterior (AP) direction that is mostly associated with falls. The smart phone application was able to represent the results that were gathered by the force plate, thus opening the door to a simpler way to track sway variables in the elderly without the necessity to come to a doctor’s office.Matthew CimeraArkady VoloshinMDPI AGarticleswaysmartphonefallelderlyTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10577, p 10577 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	sway smartphone fall elderly Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	sway smartphone fall elderly Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Matthew Cimera Arkady Voloshin Validation of Smartphone Sway Analysis for Fall Prevention
description	Analysis of the balance and sway of the elderly remains a field continuously studied for additional means of assessing the risks of falls. Almost 50% of falls among the elderly lead to serious injuries, and falls are the leading cause of death for the elderly. Thus, the development of a convenient method to assess the risks of falling would be beneficial in helping to diminish these risks. We recorded the sway data by using the widely acceptable force plate and simultaneously compared it to the angular orientation measured by a cell phone’s accelerometer attached to the subject. It was found that the correlation of the average path length and average velocity between the results from the force plate and the phone application were 0.83 and 0.86 respectively. Overall, the direction of the strongest correlation was in the anterior–posterior (AP) direction that is mostly associated with falls. The smart phone application was able to represent the results that were gathered by the force plate, thus opening the door to a simpler way to track sway variables in the elderly without the necessity to come to a doctor’s office.
format	article
author	Matthew Cimera Arkady Voloshin
author_facet	Matthew Cimera Arkady Voloshin
author_sort	Matthew Cimera
title	Validation of Smartphone Sway Analysis for Fall Prevention
title_short	Validation of Smartphone Sway Analysis for Fall Prevention
title_full	Validation of Smartphone Sway Analysis for Fall Prevention
title_fullStr	Validation of Smartphone Sway Analysis for Fall Prevention
title_full_unstemmed	Validation of Smartphone Sway Analysis for Fall Prevention
title_sort	validation of smartphone sway analysis for fall prevention
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/fa2c67cb030742fa94ea85de6f915e6f
work_keys_str_mv	AT matthewcimera validationofsmartphoneswayanalysisforfallprevention AT arkadyvoloshin validationofsmartphoneswayanalysisforfallprevention
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Validation of Smartphone Sway Analysis for Fall Prevention

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