Estimation of stride-by-stride spatial gait parameters using inertial measurement unit attached to the shank with inverted pendulum model

Abstract Inertial measurement unit (IMU)-based gait analysis systems have become popular in clinical environments because of their low cost and quantitative measurement capability. When a shank is selected as the IMU mounting position, an inverted pendulum model (IPM) can accurately estimate its spa...

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Autores principales:	Yufeng Mao, Taiki Ogata, Hiroki Ora, Naoto Tanaka, Yoshihiro Miyake
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/991986419128496795e0e3a91b68da0c
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id	oai:doaj.org-article:991986419128496795e0e3a91b68da0c
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spelling	oai:doaj.org-article:991986419128496795e0e3a91b68da0c2021-12-02T15:23:09ZEstimation of stride-by-stride spatial gait parameters using inertial measurement unit attached to the shank with inverted pendulum model10.1038/s41598-021-81009-w2045-2322https://doaj.org/article/991986419128496795e0e3a91b68da0c2021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-81009-whttps://doaj.org/toc/2045-2322Abstract Inertial measurement unit (IMU)-based gait analysis systems have become popular in clinical environments because of their low cost and quantitative measurement capability. When a shank is selected as the IMU mounting position, an inverted pendulum model (IPM) can accurately estimate its spatial gait parameters. However, the stride-by-stride estimation of gait parameters using one IMU on each shank and the IPMs has not been validated. This study validated a spatial gait parameter estimation method using a shank-based IMU system. Spatial parameters were estimated via the double integration of the linear acceleration transformed by the IMU orientation information. To reduce the integral drift error, an IPM, applied with a linear error model, was introduced at the mid-stance to estimate the update velocity. the gait data of 16 healthy participants that walked normally and slowly were used. The results were validated by comparison with those extracted from an optical motion-capture system; the results showed strong correlation ( $$r>0.9$$ r > 0.9 ) and good agreement with the gait metrics (stride length, stride velocity, and shank vertical displacement). In addition, the biases of the stride length and stride velocity extracted using the motion capture system were smaller in the IPM than those in the previous method using the zero-velocity-update. The error variabilities of the gait metrics were smaller in the IPM than those in the previous method. These results indicated that the reconstructed shank trajectory achieved a greater accuracy and precision than that of previous methods. This was attributed to the IPM, which demonstrates that shank-based IMU systems with IPMs can accurately reflect many spatial gait parameters including stride velocity.Yufeng MaoTaiki OgataHiroki OraNaoto TanakaYoshihiro MiyakeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Yufeng Mao Taiki Ogata Hiroki Ora Naoto Tanaka Yoshihiro Miyake Estimation of stride-by-stride spatial gait parameters using inertial measurement unit attached to the shank with inverted pendulum model
description	Abstract Inertial measurement unit (IMU)-based gait analysis systems have become popular in clinical environments because of their low cost and quantitative measurement capability. When a shank is selected as the IMU mounting position, an inverted pendulum model (IPM) can accurately estimate its spatial gait parameters. However, the stride-by-stride estimation of gait parameters using one IMU on each shank and the IPMs has not been validated. This study validated a spatial gait parameter estimation method using a shank-based IMU system. Spatial parameters were estimated via the double integration of the linear acceleration transformed by the IMU orientation information. To reduce the integral drift error, an IPM, applied with a linear error model, was introduced at the mid-stance to estimate the update velocity. the gait data of 16 healthy participants that walked normally and slowly were used. The results were validated by comparison with those extracted from an optical motion-capture system; the results showed strong correlation ( $$r>0.9$$ r > 0.9 ) and good agreement with the gait metrics (stride length, stride velocity, and shank vertical displacement). In addition, the biases of the stride length and stride velocity extracted using the motion capture system were smaller in the IPM than those in the previous method using the zero-velocity-update. The error variabilities of the gait metrics were smaller in the IPM than those in the previous method. These results indicated that the reconstructed shank trajectory achieved a greater accuracy and precision than that of previous methods. This was attributed to the IPM, which demonstrates that shank-based IMU systems with IPMs can accurately reflect many spatial gait parameters including stride velocity.
format	article
author	Yufeng Mao Taiki Ogata Hiroki Ora Naoto Tanaka Yoshihiro Miyake
author_facet	Yufeng Mao Taiki Ogata Hiroki Ora Naoto Tanaka Yoshihiro Miyake
author_sort	Yufeng Mao
title	Estimation of stride-by-stride spatial gait parameters using inertial measurement unit attached to the shank with inverted pendulum model
title_short	Estimation of stride-by-stride spatial gait parameters using inertial measurement unit attached to the shank with inverted pendulum model
title_full	Estimation of stride-by-stride spatial gait parameters using inertial measurement unit attached to the shank with inverted pendulum model
title_fullStr	Estimation of stride-by-stride spatial gait parameters using inertial measurement unit attached to the shank with inverted pendulum model
title_full_unstemmed	Estimation of stride-by-stride spatial gait parameters using inertial measurement unit attached to the shank with inverted pendulum model
title_sort	estimation of stride-by-stride spatial gait parameters using inertial measurement unit attached to the shank with inverted pendulum model
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/991986419128496795e0e3a91b68da0c
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Estimation of stride-by-stride spatial gait parameters using inertial measurement unit attached to the shank with inverted pendulum model

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