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Inertial measurement units for clinical movement analysis: reliability and concurrent validity

Al-Amri, Mohammad, Nicholas, Kevin, Button, Kate, Sparkes, Valerie, Sheeran, Liba and Davies, Jennifer 2018. Inertial measurement units for clinical movement analysis: reliability and concurrent validity. Sensors 18 (3) , p. 719. 10.3390/s18030719

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Abstract

The aim of this study was to investigate the reliability and concurrent validity of a commercially available inertial-sensor-based motion capture system, Xsens MVN BIOMECH, during clinically relevant functional activities. A clinician with no prior experience of motion capture technologies and an experienced clinical movement scientist each assessed 26 healthy participants within each of two sessions using a camera-based motion capture system and the MVN BIOMECH system. Participants performed overground walking, squatting, and jumping. Sessions were separated by 4 ± 3 days. Reliability was evaluated using intraclass correlation coefficient and standard error of measurement, and validity was evaluated using the coefficient of multiple correlation and the linear fit method. Day-to-day reliability was generally fair-to-excellent in all three planes for hip, knee, and ankle joint angles in all three tasks. Within-day (between-rater) reliability was fair-to-excellent in all three planes during walking and squatting, and poor-to-high during jumping. Validity was excellent in the sagittal plane for hip, knee, and ankle joint angles in all three tasks and acceptable in frontal and transverse planes in squat and jump activity across joints. Our results suggest that the MVN BIOMECH system can be used by a clinician to quantify lower-limb joint angles in clinically relevant movements.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Healthcare Sciences
Uncontrolled Keywords: inertial measurement units; motion analysis; kinematics; gait; functional activity; repeatability; reliability; biomechanics.
Publisher: MDPI
ISSN: 1424-8220
Date of First Compliant Deposit: 27 February 2018
Date of Acceptance: 26 February 2018
Last Modified: 28 Apr 2019 11:59
URI: http://orca.cf.ac.uk/id/eprint/109472

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