Literature DB >> 28475198

Reliability and validity of the Microsoft Kinect for assessment of manual wheelchair propulsion.

Rachel Milgrom1, Matthew Foreman, John Standeven, Jack R Engsberg, Kerri A Morgan.   

Abstract

Concurrent validity and test-retest reliability of the Microsoft Kinect in quantification of manual wheelchair propulsion were examined. Data were collected from five manual wheelchair users on a roller system. Three Kinect sensors were used to assess test-retest reliability with a still pose. Three systems were used to assess concurrent validity of the Kinect to measure propulsion kinematics (joint angles, push loop characteristics): Kinect, Motion Analysis, and Dartfish ProSuite (Dartfish joint angles were limited to shoulder and elbow flexion). Intraclass correlation coefficients revealed good reliability (0.87-0.99) between five of the six joint angles (neck flexion, shoulder flexion, shoulder abduction, elbow flexion, wrist flexion). ICCs suggested good concurrent validity for elbow flexion between the Kinect and Dartfish and between the Kinect and Motion Analysis. Good concurrent validity was revealed for maximum height, hand-axle relationship, and maximum area (0.92-0.95) between the Kinect and Dartfish and maximum height and hand-axle relationship (0.89-0.96) between the Kinect and Motion Analysis. Analysis of variance revealed significant differences (p < 0.05) in maximum length between Dartfish (mean 58.76 cm) and the Kinect (40.16 cm). Results pose promising research and clinical implications for propulsion assessment and overuse injury prevention with the application of current findings to future technology.

Entities:  

Keywords:  Dartfish; Microsoft Kinect; assessment; manual wheelchair; motion analysis; propulsion; reliability; upper limb; validity; video motion capture

Mesh:

Year:  2016        PMID: 28475198     DOI: 10.1682/JRRD.2015.10.0198

Source DB:  PubMed          Journal:  J Rehabil Res Dev        ISSN: 0748-7711


  5 in total

1.  Exercise testing protocol using a roller system for manual wheelchair users with spinal cord injury.

Authors:  Kerri A Morgan; Kelly L Taylor; Susan M Tucker; W Todd Cade; Joseph W Klaesner
Journal:  J Spinal Cord Med       Date:  2018-03-08       Impact factor: 1.985

2.  The Reliability and Validity of Wearable Inertial Sensors Coupled with the Microsoft Kinect to Measure Shoulder Range-of-Motion.

Authors:  Peter Beshara; Judy F Chen; Andrew C Read; Pierre Lagadec; Tian Wang; William Robert Walsh
Journal:  Sensors (Basel)       Date:  2020-12-17       Impact factor: 3.576

Review 3.  The Reliability of the Microsoft Kinect and Ambulatory Sensor-Based Motion Tracking Devices to Measure Shoulder Range-of-Motion: A Systematic Review and Meta-Analysis.

Authors:  Peter Beshara; David B Anderson; Matthew Pelletier; William R Walsh
Journal:  Sensors (Basel)       Date:  2021-12-08       Impact factor: 3.576

4.  An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor.

Authors:  Xing Chen; Detlef Wolf; Juliane Siebourg-Polster; Christian Czech; Ulrike Bonati; Dirk Fischer; Omar Khwaja; Martin Strahm
Journal:  J Vis Exp       Date:  2018-02-12       Impact factor: 1.355

5.  Tracking and Characterization of Spinal Cord-Injured Patients by Means of RGB-D Sensors.

Authors:  Filippo Colombo Zefinetti; Andrea Vitali; Daniele Regazzoni; Caterina Rizzi; Guido Molinero
Journal:  Sensors (Basel)       Date:  2020-11-04       Impact factor: 3.576

  5 in total

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