Gait Analysis Using Accelerometry Data from a Single Smartphone: Agreement and Consistency between a Smartphone Application and Gold-Standard Gait Analysis System

Spatio-temporal parameters of human gait, currently measured using different methods, provide valuable information on health. Inertial Measurement Units (IMUs) are one such method of gait analysis, with smartphone IMUs serving as a good substitute for current gold-standard techniques. Here we invest...

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Autores principales:	Roy T. Shahar, Maayan Agmon
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	gait analysis inertial measurement unit wearable sensors smartphone validation Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/95fff0da40d94604975cee40c2b0a8c2
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id	oai:doaj.org-article:95fff0da40d94604975cee40c2b0a8c2
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spelling	oai:doaj.org-article:95fff0da40d94604975cee40c2b0a8c22021-11-25T18:56:56ZGait Analysis Using Accelerometry Data from a Single Smartphone: Agreement and Consistency between a Smartphone Application and Gold-Standard Gait Analysis System10.3390/s212274971424-8220https://doaj.org/article/95fff0da40d94604975cee40c2b0a8c22021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7497https://doaj.org/toc/1424-8220Spatio-temporal parameters of human gait, currently measured using different methods, provide valuable information on health. Inertial Measurement Units (IMUs) are one such method of gait analysis, with smartphone IMUs serving as a good substitute for current gold-standard techniques. Here we investigate the concurrent validity of a smartphone placed in a front-facing pocket to perform gait analysis. Sixty community-dwelling healthy adults equipped with a smartphone and an application for gait analysis completed a 2-min walk on a marked path. Concurrent validity was assessed against an APDM mobility lab (APDM Inc.; Portland, OR, USA). Bland–Altman plots and intraclass correlation coefficients (agreement and consistency) for gait speed, cadence, and step length indicate good to excellent agreement (ICC<sub>2,1</sub> > 0.8). For right leg stance and swing % of gait cycle and double support % of gait cycle, results were moderate (0.52 < ICC<sub>2,1</sub> < 0.62). For left leg stance and swing % of gait cycle left results show poor agreement (ICC<sub>2,1</sub> < 0.5). Consistency of results was good to excellent for all tested parameters (ICC<sub>3,1</sub> > 0.8). Thus we have a valid and reliable instrument for measuring healthy adults’ spatio-temporal gait parameters in a controlled walking environment.Roy T. ShaharMaayan AgmonMDPI AGarticlegait analysisinertial measurement unitwearable sensorssmartphonevalidationChemical technologyTP1-1185ENSensors, Vol 21, Iss 7497, p 7497 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	gait analysis inertial measurement unit wearable sensors smartphone validation Chemical technology TP1-1185
spellingShingle	gait analysis inertial measurement unit wearable sensors smartphone validation Chemical technology TP1-1185 Roy T. Shahar Maayan Agmon Gait Analysis Using Accelerometry Data from a Single Smartphone: Agreement and Consistency between a Smartphone Application and Gold-Standard Gait Analysis System
description	Spatio-temporal parameters of human gait, currently measured using different methods, provide valuable information on health. Inertial Measurement Units (IMUs) are one such method of gait analysis, with smartphone IMUs serving as a good substitute for current gold-standard techniques. Here we investigate the concurrent validity of a smartphone placed in a front-facing pocket to perform gait analysis. Sixty community-dwelling healthy adults equipped with a smartphone and an application for gait analysis completed a 2-min walk on a marked path. Concurrent validity was assessed against an APDM mobility lab (APDM Inc.; Portland, OR, USA). Bland–Altman plots and intraclass correlation coefficients (agreement and consistency) for gait speed, cadence, and step length indicate good to excellent agreement (ICC<sub>2,1</sub> > 0.8). For right leg stance and swing % of gait cycle and double support % of gait cycle, results were moderate (0.52 < ICC<sub>2,1</sub> < 0.62). For left leg stance and swing % of gait cycle left results show poor agreement (ICC<sub>2,1</sub> < 0.5). Consistency of results was good to excellent for all tested parameters (ICC<sub>3,1</sub> > 0.8). Thus we have a valid and reliable instrument for measuring healthy adults’ spatio-temporal gait parameters in a controlled walking environment.
format	article
author	Roy T. Shahar Maayan Agmon
author_facet	Roy T. Shahar Maayan Agmon
author_sort	Roy T. Shahar
title	Gait Analysis Using Accelerometry Data from a Single Smartphone: Agreement and Consistency between a Smartphone Application and Gold-Standard Gait Analysis System
title_short	Gait Analysis Using Accelerometry Data from a Single Smartphone: Agreement and Consistency between a Smartphone Application and Gold-Standard Gait Analysis System
title_full	Gait Analysis Using Accelerometry Data from a Single Smartphone: Agreement and Consistency between a Smartphone Application and Gold-Standard Gait Analysis System
title_fullStr	Gait Analysis Using Accelerometry Data from a Single Smartphone: Agreement and Consistency between a Smartphone Application and Gold-Standard Gait Analysis System
title_full_unstemmed	Gait Analysis Using Accelerometry Data from a Single Smartphone: Agreement and Consistency between a Smartphone Application and Gold-Standard Gait Analysis System
title_sort	gait analysis using accelerometry data from a single smartphone: agreement and consistency between a smartphone application and gold-standard gait analysis system
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/95fff0da40d94604975cee40c2b0a8c2
work_keys_str_mv	AT roytshahar gaitanalysisusingaccelerometrydatafromasinglesmartphoneagreementandconsistencybetweenasmartphoneapplicationandgoldstandardgaitanalysissystem AT maayanagmon gaitanalysisusingaccelerometrydatafromasinglesmartphoneagreementandconsistencybetweenasmartphoneapplicationandgoldstandardgaitanalysissystem
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Gait Analysis Using Accelerometry Data from a Single Smartphone: Agreement and Consistency between a Smartphone Application and Gold-Standard Gait Analysis System

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