Microsoft Kinect can distinguish differences in over-ground gait between older persons with and without Parkinson's disease.

Autor: Eltoukhy M; Department of Kinesiology and Sport Sciences, School of Education & Human Development, University of Miami, 1507 Levante Ave. Max Orovitz Building 114, Coral Gables, FL 33146, USA.. Electronic address: melltoukhy@miami.edu., Kuenze C; Department of Kinesiology, School of Education, Michigan State University, East Lansing, MI 48824, USA.. Electronic address: kuenzech@msu.edu., Oh J; Department of Kinesiology and Sport Sciences, School of Education & Human Development, University of Miami, 1507 Levante Ave. Max Orovitz Building 114, Coral Gables, FL 33146, USA.. Electronic address: jxo130@miami.edu., Jacopetti M; Department of Kinesiology and Sport Sciences, School of Education & Human Development, University of Miami, 1507 Levante Ave. Max Orovitz Building 114, Coral Gables, FL 33146, USA.. Electronic address: mxj476@miami.edu., Wooten S; Department of Kinesiology and Sport Sciences, School of Education & Human Development, University of Miami, 1507 Levante Ave. Max Orovitz Building 114, Coral Gables, FL 33146, USA.. Electronic address: svw11@miami.edu., Signorile J; Department of Kinesiology and Sport Sciences, School of Education & Human Development, University of Miami, 1507 Levante Ave. Max Orovitz Building 114, Coral Gables, FL 33146, USA.; Center on Aging, Miller School of Medicine, 1695N.W. 9th Avenue, Suite 3204, Miami, FL, 33136, USA. Electronic address: jsignorile@miami.edu.
Jazyk: angličtina
Zdroj: Medical engineering & physics [Med Eng Phys] 2017 Jun; Vol. 44, pp. 1-7. Date of Electronic Publication: 2017 Apr 10.
DOI: 10.1016/j.medengphy.2017.03.007
Abstrakt: Gait patterns differ between healthy elders and those with Parkinson's disease (PD). A simple, low-cost clinical tool that can evaluate kinematic differences between these populations would be invaluable diagnostically; since gait analysis in a clinical setting is impractical due to cost and technical expertise. This study investigated the between group differences between the Kinect and a 3D movement analysis system (BTS) and reported validity and reliability of the Kinect v2 sensor for gait analysis. Nineteen subjects participated, eleven without (C) and eight with PD (PD). Outcome measures included spatiotemporal parameters and kinematics. Ankle range of motion for C was significantly less during ankle swing compared to PD (p=0.04) for the Kinect. Both systems showed significant differences for stride length (BTS (C 1.24±0.16, PD=1.01±0.17, p=0.009), Kinect (C=1.24±0.17, PD=1.00±0.18, p=0.009)), gait velocity (BTS (C=1.06±0.14, PD=0.83±0.15, p=0.01), Kinect (C=1.06±0.15, PD=0.83±0.16, p=0.01)), and swing velocity (BTS (C=2.50±0.27, PD=2.12±0.36, p=0.02), Kinect (C=2.32±0.25, PD=1.95±0.31, p=0.01)) between groups. Agreement (Range ICC =0.93-0.99) and consistency (Range ICC =0.94-0.99) were excellent between systems for stride length, stance duration, swing duration, gait velocity, and swing velocity. The Kinect v2 can was sensitive enough to detect between group differences and consistently produced results similar to the BTS system.
(Copyright © 2017 IPEM. Published by Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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