Development and validation of a new method to measure walking speed in free-living environments using the actibelt® platform.

Walking speed is a fundamental indicator for human well-being. In a clinical setting, walking speed is typically measured by means of walking tests using different protocols. However, walking speed obtained in this way is unlikely to be representative of the conditions in a free-living environment....

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Autores principales:	Michaela Schimpl, Christian Lederer, Martin Daumer
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2011
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/19a4396d49fb4670933165e577ba4298
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spelling	oai:doaj.org-article:19a4396d49fb4670933165e577ba42982021-11-18T06:48:32ZDevelopment and validation of a new method to measure walking speed in free-living environments using the actibelt® platform.1932-620310.1371/journal.pone.0023080https://doaj.org/article/19a4396d49fb4670933165e577ba42982011-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21850254/?tool=EBIhttps://doaj.org/toc/1932-6203Walking speed is a fundamental indicator for human well-being. In a clinical setting, walking speed is typically measured by means of walking tests using different protocols. However, walking speed obtained in this way is unlikely to be representative of the conditions in a free-living environment. Recently, mobile accelerometry has opened up the possibility to extract walking speed from long-time observations in free-living individuals, but the validity of these measurements needs to be determined. In this investigation, we have developed algorithms for walking speed prediction based on 3D accelerometry data (actibelt®) and created a framework using a standardized data set with gold standard annotations to facilitate the validation and comparison of these algorithms. For this purpose 17 healthy subjects operated a newly developed mobile gold standard while walking/running on an indoor track. Subsequently, the validity of 12 candidate algorithms for walking speed prediction ranging from well-known simple approaches like combining step length with frequency to more sophisticated algorithms such as linear and non-linear models was assessed using statistical measures. As a result, a novel algorithm employing support vector regression was found to perform best with a concordance correlation coefficient of 0.93 (95%CI 0.92-0.94) and a coverage probability CP1 of 0.46 (95%CI 0.12-0.70) for a deviation of 0.1 m/s (CP2 0.78, CP3 0.94) when compared to the mobile gold standard while walking indoors. A smaller outdoor experiment confirmed those results with even better coverage probability. We conclude that walking speed thus obtained has the potential to help establish walking speed in free-living environments as a patient-oriented outcome measure.Michaela SchimplChristian LedererMartin DaumerPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 6, Iss 8, p e23080 (2011)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Michaela Schimpl Christian Lederer Martin Daumer Development and validation of a new method to measure walking speed in free-living environments using the actibelt® platform.
description	Walking speed is a fundamental indicator for human well-being. In a clinical setting, walking speed is typically measured by means of walking tests using different protocols. However, walking speed obtained in this way is unlikely to be representative of the conditions in a free-living environment. Recently, mobile accelerometry has opened up the possibility to extract walking speed from long-time observations in free-living individuals, but the validity of these measurements needs to be determined. In this investigation, we have developed algorithms for walking speed prediction based on 3D accelerometry data (actibelt®) and created a framework using a standardized data set with gold standard annotations to facilitate the validation and comparison of these algorithms. For this purpose 17 healthy subjects operated a newly developed mobile gold standard while walking/running on an indoor track. Subsequently, the validity of 12 candidate algorithms for walking speed prediction ranging from well-known simple approaches like combining step length with frequency to more sophisticated algorithms such as linear and non-linear models was assessed using statistical measures. As a result, a novel algorithm employing support vector regression was found to perform best with a concordance correlation coefficient of 0.93 (95%CI 0.92-0.94) and a coverage probability CP1 of 0.46 (95%CI 0.12-0.70) for a deviation of 0.1 m/s (CP2 0.78, CP3 0.94) when compared to the mobile gold standard while walking indoors. A smaller outdoor experiment confirmed those results with even better coverage probability. We conclude that walking speed thus obtained has the potential to help establish walking speed in free-living environments as a patient-oriented outcome measure.
format	article
author	Michaela Schimpl Christian Lederer Martin Daumer
author_facet	Michaela Schimpl Christian Lederer Martin Daumer
author_sort	Michaela Schimpl
title	Development and validation of a new method to measure walking speed in free-living environments using the actibelt® platform.
title_short	Development and validation of a new method to measure walking speed in free-living environments using the actibelt® platform.
title_full	Development and validation of a new method to measure walking speed in free-living environments using the actibelt® platform.
title_fullStr	Development and validation of a new method to measure walking speed in free-living environments using the actibelt® platform.
title_full_unstemmed	Development and validation of a new method to measure walking speed in free-living environments using the actibelt® platform.
title_sort	development and validation of a new method to measure walking speed in free-living environments using the actibelt® platform.
publisher	Public Library of Science (PLoS)
publishDate	2011
url	https://doaj.org/article/19a4396d49fb4670933165e577ba4298
work_keys_str_mv	AT michaelaschimpl developmentandvalidationofanewmethodtomeasurewalkingspeedinfreelivingenvironmentsusingtheactibeltplatform AT christianlederer developmentandvalidationofanewmethodtomeasurewalkingspeedinfreelivingenvironmentsusingtheactibeltplatform AT martindaumer developmentandvalidationofanewmethodtomeasurewalkingspeedinfreelivingenvironmentsusingtheactibeltplatform
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Development and validation of a new method to measure walking speed in free-living environments using the actibelt® platform.

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