Validation of Spatiotemporal and Kinematic Measures in Functional Exercises Using a Minimal Modeling Inertial Sensor Methodology

Benjamin R Hindle; Justin W.L Keogh; Anna V Lorimer

doi:10.3390/s20164586

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Validation of Spatiotemporal and Kinematic Measures in Functional Exercises Using a Minimal Modeling Inertial Sensor Methodology

Journal article

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Peer reviewed

Validation of Spatiotemporal and Kinematic Measures in Functional Exercises Using a Minimal Modeling Inertial Sensor Methodology

Benjamin R Hindle, Justin W.L Keogh and Anna V Lorimer

Sensors, Vol.20(16), pp.1-21

2020

DOI: https://doi.org/10.3390/s20164586

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Abstract

kinematics

spatiotemporal

gait

motion analysis

inertial sensors

This study proposes a minimal modeling magnetic, angular rate and gravity (MARG) methodology for assessing spatiotemporal and kinematic measures of functional fitness exercises. Thirteen healthy persons performed repetitions of the squat, box squat, sandbag pickup, shuffle-walk, and bear crawl. Sagittal plane hip, knee, and ankle range of motion (ROM) and stride length, stride time, and stance time measures were compared for the MARG method and an optical motion capture (OMC) system. The root mean square error (RMSE), mean absolute percentage error (MAPE), and Bland–Altman plots and limits of agreement were used to assess agreement between methods. Hip and knee ROM showed good to excellent agreement with the OMC system during the squat, box squat, and sandbag pickup (RMSE: 4.4–9.8°), while ankle ROM agreement ranged from good to unacceptable (RMSE: 2.7–7.2°). Unacceptable hip and knee ROM agreement was observed for the shuffle-walk and bear crawl (RMSE: 3.3–8.6°). The stride length, stride time, and stance time showed good to excellent agreement between methods (MAPE: (3.2 ± 2.8)%–(8.2 ± 7.9)%). Although the proposed MARG-based method is a valid means of assessing spatiotemporal and kinematic measures during various exercises, further development is required to assess the joint kinematics of small ROM, high velocity movements.

Details

Title: Validation of Spatiotemporal and Kinematic Measures in Functional Exercises Using a Minimal Modeling Inertial Sensor Methodology
Authors: Benjamin R Hindle (Author) - Bond University
Justin W.L Keogh (Author) - University of the Sunshine Coast, Queensland
Anna V Lorimer (Author) - Bond University
Publication details: Sensors, Vol.20(16), pp.1-21
Publisher: MDPI AG
Date published: 2020
DOI: 10.3390/s20164586
ISSN: 1424-8220
Copyright note: © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Organisation Unit: University of the Sunshine Coast, Queensland
Language: English
Record Identifier: 99474908702621
Output Type: Journal article

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Collaboration types: Domestic collaboration; International collaboration
Web Of Science research areas: Chemistry, Analytical; Engineering, Electrical & Electronic; Instruments & Instrumentation

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