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Validation of an ear-worn sensor for gait monitoring using a force-plate instrumented treadmill

A force-plate instrumented treadmill (Hp Cosmos Gaitway) was used to validate the use of a miniaturised lightweight ear-worn sensor (7.4 g) for gait monitoring. Thirty-four healthy subjects were asked to progress up to their maximum walking speed on the treadmill (starting at 5 km/h, with 0.5 km inc...

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Autores principales: Atallah, Louis, Wiik, Anatole, Jones, Gareth G., Lo, Benny, Cobb, Justin P., Amis, Andrew, Yang, Guang-Zhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Sciencem 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3329626/
https://www.ncbi.nlm.nih.gov/pubmed/22169386
http://dx.doi.org/10.1016/j.gaitpost.2011.11.021
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author Atallah, Louis
Wiik, Anatole
Jones, Gareth G.
Lo, Benny
Cobb, Justin P.
Amis, Andrew
Yang, Guang-Zhong
author_facet Atallah, Louis
Wiik, Anatole
Jones, Gareth G.
Lo, Benny
Cobb, Justin P.
Amis, Andrew
Yang, Guang-Zhong
author_sort Atallah, Louis
collection PubMed
description A force-plate instrumented treadmill (Hp Cosmos Gaitway) was used to validate the use of a miniaturised lightweight ear-worn sensor (7.4 g) for gait monitoring. Thirty-four healthy subjects were asked to progress up to their maximum walking speed on the treadmill (starting at 5 km/h, with 0.5 km increments). The sensor houses a 3D accelerometer which measures medio-lateral (ML), vertical (VT) and anterior–posterior (AP) acceleration. Maximum signal ranges and zero crossings were derived from accelerometer signals per axis, having corrected for head motion and signal noise. The maximal force, measured by the instrumented treadmill correlated best with a combination of VT and AP acceleration (R-squared = 0.36, p = 0), and combined VT, ML, and AP acceleration (R-squared = 0.36, p = 0). Weight-acceptance peak force and impulse values also correlated well with VT and AP acceleration (Weight acceptance: R-squared = 0.35, p = 0, Impulse: 0.26, p = 0), and combined VT, ML, and AP acceleration (Weight acceptance: R-squared = 0.35, p = 0, Impulse: 0.26, p = 0). Zero crossing features on the ML axis provided an accurate prediction of the gait-cycle, with a mean difference of 0.03 s (−0.01, 0.05 confidence intervals).
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spelling pubmed-33296262012-04-26 Validation of an ear-worn sensor for gait monitoring using a force-plate instrumented treadmill Atallah, Louis Wiik, Anatole Jones, Gareth G. Lo, Benny Cobb, Justin P. Amis, Andrew Yang, Guang-Zhong Gait Posture Technical Note A force-plate instrumented treadmill (Hp Cosmos Gaitway) was used to validate the use of a miniaturised lightweight ear-worn sensor (7.4 g) for gait monitoring. Thirty-four healthy subjects were asked to progress up to their maximum walking speed on the treadmill (starting at 5 km/h, with 0.5 km increments). The sensor houses a 3D accelerometer which measures medio-lateral (ML), vertical (VT) and anterior–posterior (AP) acceleration. Maximum signal ranges and zero crossings were derived from accelerometer signals per axis, having corrected for head motion and signal noise. The maximal force, measured by the instrumented treadmill correlated best with a combination of VT and AP acceleration (R-squared = 0.36, p = 0), and combined VT, ML, and AP acceleration (R-squared = 0.36, p = 0). Weight-acceptance peak force and impulse values also correlated well with VT and AP acceleration (Weight acceptance: R-squared = 0.35, p = 0, Impulse: 0.26, p = 0), and combined VT, ML, and AP acceleration (Weight acceptance: R-squared = 0.35, p = 0, Impulse: 0.26, p = 0). Zero crossing features on the ML axis provided an accurate prediction of the gait-cycle, with a mean difference of 0.03 s (−0.01, 0.05 confidence intervals). Elsevier Sciencem 2012-04 /pmc/articles/PMC3329626/ /pubmed/22169386 http://dx.doi.org/10.1016/j.gaitpost.2011.11.021 Text en © 2012 Elsevier B.V. https://creativecommons.org/licenses/by/3.0/ Open Access under CC BY 3.0 (https://creativecommons.org/licenses/by/3.0/) license
spellingShingle Technical Note
Atallah, Louis
Wiik, Anatole
Jones, Gareth G.
Lo, Benny
Cobb, Justin P.
Amis, Andrew
Yang, Guang-Zhong
Validation of an ear-worn sensor for gait monitoring using a force-plate instrumented treadmill
title Validation of an ear-worn sensor for gait monitoring using a force-plate instrumented treadmill
title_full Validation of an ear-worn sensor for gait monitoring using a force-plate instrumented treadmill
title_fullStr Validation of an ear-worn sensor for gait monitoring using a force-plate instrumented treadmill
title_full_unstemmed Validation of an ear-worn sensor for gait monitoring using a force-plate instrumented treadmill
title_short Validation of an ear-worn sensor for gait monitoring using a force-plate instrumented treadmill
title_sort validation of an ear-worn sensor for gait monitoring using a force-plate instrumented treadmill
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3329626/
https://www.ncbi.nlm.nih.gov/pubmed/22169386
http://dx.doi.org/10.1016/j.gaitpost.2011.11.021
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