Inertial measurement units for clinical movement analysis: reliability and concurrent validity.
Inertial measurement units for clinical movement analysis: reliability and concurrent validity.
The aim of this study was to investigate the reliability and concurrent validity of a commercially available Xsens MVN BIOMECH inertial-sensor-based motion capture system 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.
Al-Amri, Mohammad
0b2232da-149d-49cc-8259-030cf1ad88ec
Nicholas, Kevin
e6c65d90-ae68-42c3-89cf-64fac591282a
Button, Kate
2b576462-c0e9-4007-874b-747cdf5d0c70
Sparkes, Valerie
7ddd0ce0-29db-4fdf-8a6c-140352979eb6
Sheeran, Liba
ad753e79-56c8-483f-aae5-dd992496bee2
Davies, Jennifer L
184a996c-bacc-4545-be0c-266179597d41
28 February 2018
Al-Amri, Mohammad
0b2232da-149d-49cc-8259-030cf1ad88ec
Nicholas, Kevin
e6c65d90-ae68-42c3-89cf-64fac591282a
Button, Kate
2b576462-c0e9-4007-874b-747cdf5d0c70
Sparkes, Valerie
7ddd0ce0-29db-4fdf-8a6c-140352979eb6
Sheeran, Liba
ad753e79-56c8-483f-aae5-dd992496bee2
Davies, Jennifer L
184a996c-bacc-4545-be0c-266179597d41
Al-Amri, Mohammad, Nicholas, Kevin, Button, Kate, Sparkes, Valerie, Sheeran, Liba and Davies, Jennifer L
(2018)
Inertial measurement units for clinical movement analysis: reliability and concurrent validity.
Sensors (Basel, Switzerland), 18 (3).
(doi:10.3390/s18030719).
Abstract
The aim of this study was to investigate the reliability and concurrent validity of a commercially available Xsens MVN BIOMECH inertial-sensor-based motion capture system 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.
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Published date: 28 February 2018
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Local EPrints ID: 500969
URI: http://eprints.soton.ac.uk/id/eprint/500969
ISSN: 1424-8220
PURE UUID: 2c997cfa-dcd7-487e-a97a-082def3a11ac
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Date deposited: 19 May 2025 17:33
Last modified: 16 Aug 2025 02:16
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Author:
Mohammad Al-Amri
Author:
Kevin Nicholas
Author:
Kate Button
Author:
Valerie Sparkes
Author:
Liba Sheeran
Author:
Jennifer L Davies
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