Validity and Sensitivity of an Inertial Measurement Unit-Driven Biomechanical Model of Motor Variability for Gait

Motor variability in gait is frequently linked to fall risk, yet field-based biomechanical joint evaluations are scarce. We evaluated the validity and sensitivity of an inertial measurement unit (IMU)-driven biomechanical model of joint angle variability for gait. Fourteen healthy young adults compl...

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Autores principales:	Christopher A. Bailey, Thomas K. Uchida, Julie Nantel, Ryan B. Graham
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	gait inertial measurement unit joint kinematics local dynamic stability OpenSim persistence Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/c8ca92909ba540678b44a6a4663a2a78
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spelling	oai:doaj.org-article:c8ca92909ba540678b44a6a4663a2a782021-11-25T18:58:30ZValidity and Sensitivity of an Inertial Measurement Unit-Driven Biomechanical Model of Motor Variability for Gait10.3390/s212276901424-8220https://doaj.org/article/c8ca92909ba540678b44a6a4663a2a782021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7690https://doaj.org/toc/1424-8220Motor variability in gait is frequently linked to fall risk, yet field-based biomechanical joint evaluations are scarce. We evaluated the validity and sensitivity of an inertial measurement unit (IMU)-driven biomechanical model of joint angle variability for gait. Fourteen healthy young adults completed seven-minute trials of treadmill gait at several speeds and arm swing amplitudes. Trunk, pelvis, and lower-limb joint kinematics were estimated by IMU- and optoelectronic-based models using OpenSim. We calculated range of motion (ROM), magnitude of variability (meanSD), local dynamic stability (λ<sub>max</sub>), persistence of ROM fluctuations (DFAα), and regularity (SaEn) of each angle over 200 continuous strides, and evaluated model accuracy (RMSD: root mean square difference), consistency (ICC<sub>2,1</sub>: intraclass correlation), biases, limits of agreement, and sensitivity to within-participant gait responses (effects of speed and swing). RMSDs of joint angles were 1.7–9.2° (pooled mean of 4.8°), excluding ankle inversion. ICCs were mostly good to excellent in the primary plane of motion for ROM and in all planes for meanSD and λ<sub>max</sub>, but were poor to moderate for DFAα and SaEn. Modelled speed and swing responses for ROM, meanSD, and λ<sub>max</sub> were similar. Results suggest that the IMU-driven model is valid and sensitive for field-based assessments of joint angle time series, ROM in the primary plane of motion, magnitude of variability, and local dynamic stability.Christopher A. BaileyThomas K. UchidaJulie NantelRyan B. GrahamMDPI AGarticlegaitinertial measurement unitjoint kinematicslocal dynamic stabilityOpenSimpersistenceChemical technologyTP1-1185ENSensors, Vol 21, Iss 7690, p 7690 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	gait inertial measurement unit joint kinematics local dynamic stability OpenSim persistence Chemical technology TP1-1185
spellingShingle	gait inertial measurement unit joint kinematics local dynamic stability OpenSim persistence Chemical technology TP1-1185 Christopher A. Bailey Thomas K. Uchida Julie Nantel Ryan B. Graham Validity and Sensitivity of an Inertial Measurement Unit-Driven Biomechanical Model of Motor Variability for Gait
description	Motor variability in gait is frequently linked to fall risk, yet field-based biomechanical joint evaluations are scarce. We evaluated the validity and sensitivity of an inertial measurement unit (IMU)-driven biomechanical model of joint angle variability for gait. Fourteen healthy young adults completed seven-minute trials of treadmill gait at several speeds and arm swing amplitudes. Trunk, pelvis, and lower-limb joint kinematics were estimated by IMU- and optoelectronic-based models using OpenSim. We calculated range of motion (ROM), magnitude of variability (meanSD), local dynamic stability (λ<sub>max</sub>), persistence of ROM fluctuations (DFAα), and regularity (SaEn) of each angle over 200 continuous strides, and evaluated model accuracy (RMSD: root mean square difference), consistency (ICC<sub>2,1</sub>: intraclass correlation), biases, limits of agreement, and sensitivity to within-participant gait responses (effects of speed and swing). RMSDs of joint angles were 1.7–9.2° (pooled mean of 4.8°), excluding ankle inversion. ICCs were mostly good to excellent in the primary plane of motion for ROM and in all planes for meanSD and λ<sub>max</sub>, but were poor to moderate for DFAα and SaEn. Modelled speed and swing responses for ROM, meanSD, and λ<sub>max</sub> were similar. Results suggest that the IMU-driven model is valid and sensitive for field-based assessments of joint angle time series, ROM in the primary plane of motion, magnitude of variability, and local dynamic stability.
format	article
author	Christopher A. Bailey Thomas K. Uchida Julie Nantel Ryan B. Graham
author_facet	Christopher A. Bailey Thomas K. Uchida Julie Nantel Ryan B. Graham
author_sort	Christopher A. Bailey
title	Validity and Sensitivity of an Inertial Measurement Unit-Driven Biomechanical Model of Motor Variability for Gait
title_short	Validity and Sensitivity of an Inertial Measurement Unit-Driven Biomechanical Model of Motor Variability for Gait
title_full	Validity and Sensitivity of an Inertial Measurement Unit-Driven Biomechanical Model of Motor Variability for Gait
title_fullStr	Validity and Sensitivity of an Inertial Measurement Unit-Driven Biomechanical Model of Motor Variability for Gait
title_full_unstemmed	Validity and Sensitivity of an Inertial Measurement Unit-Driven Biomechanical Model of Motor Variability for Gait
title_sort	validity and sensitivity of an inertial measurement unit-driven biomechanical model of motor variability for gait
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/c8ca92909ba540678b44a6a4663a2a78
work_keys_str_mv	AT christopherabailey validityandsensitivityofaninertialmeasurementunitdrivenbiomechanicalmodelofmotorvariabilityforgait AT thomaskuchida validityandsensitivityofaninertialmeasurementunitdrivenbiomechanicalmodelofmotorvariabilityforgait AT julienantel validityandsensitivityofaninertialmeasurementunitdrivenbiomechanicalmodelofmotorvariabilityforgait AT ryanbgraham validityandsensitivityofaninertialmeasurementunitdrivenbiomechanicalmodelofmotorvariabilityforgait
_version_	1718410489286885376

Validity and Sensitivity of an Inertial Measurement Unit-Driven Biomechanical Model of Motor Variability for Gait

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