Literature DB >> 33321811

The Validity and Reliability of the Microsoft Kinect for Measuring Trunk Compensation during Reaching.

Matthew H Foreman1, Jack R Engsberg1.   

Abstract

Compensatory movements at the trunk are commonly utilized during reaching by persons with motor impairments due to neurological injury such as stroke. Recent low-cost motion sensors may be able to measure trunk compensation, but their validity and reliability for this application are unknown. The purpose of this study was to compare the first (K1) and second (K2) generations of the Microsoft Kinect to a video motion capture system (VMC) for measuring trunk compensation during reaching. Healthy participants (n = 5) performed reaching movements designed to simulate trunk compensation in three different directions and on two different days while being measured by all three sensors simultaneously. Kinematic variables related to reaching range of motion (ROM), planar reach distance, trunk flexion and lateral flexion, shoulder flexion and lateral flexion, and elbow flexion were calculated. Validity and reliability were analyzed using repeated-measures ANOVA, paired t-tests, Pearson's correlations, and Bland-Altman limits of agreement. Results show that the K2 was closer in magnitude to the VMC, more valid, and more reliable for measuring trunk flexion and lateral flexion during extended reaches than the K1. Both sensors were highly valid and reliable for reaching ROM, planar reach distance, and elbow flexion for all conditions. Results for shoulder flexion and abduction were mixed. The K2 was more valid and reliable for measuring trunk compensation during reaching and therefore might be prioritized for future development applications. Future analyses should include a more heterogeneous clinical population such as persons with chronic hemiparetic stroke.

Entities:  

Keywords:  Kinect; compensation; reaching; reliability; trunk; upper extremity; validity; video motion capture

Mesh:

Year:  2020        PMID: 33321811      PMCID: PMC7763626          DOI: 10.3390/s20247073

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  28 in total

1.  Assessing Wolf motor function test as outcome measure for research in patients after stroke.

Authors:  S L Wolf; P A Catlin; M Ellis; A L Archer; B Morgan; A Piacentino
Journal:  Stroke       Date:  2001-07       Impact factor: 7.914

2.  Validity of the Microsoft Kinect for assessment of postural control.

Authors:  Ross A Clark; Yong-Hao Pua; Karine Fortin; Callan Ritchie; Kate E Webster; Linda Denehy; Adam L Bryant
Journal:  Gait Posture       Date:  2012-05-23       Impact factor: 2.840

3.  Predictors of long-term participation after stroke.

Authors:  Johanne Desrosiers; Luc Noreau; Annie Rochette; Daniel Bourbonnais; Gina Bravo; Annick Bourget
Journal:  Disabil Rehabil       Date:  2006-02-28       Impact factor: 3.033

Review 4.  What do motor "recovery" and "compensation" mean in patients following stroke?

Authors:  Mindy F Levin; Jeffrey A Kleim; Steven L Wolf
Journal:  Neurorehabil Neural Repair       Date:  2008-12-31       Impact factor: 3.919

5.  Accuracy of KinectOne to quantify kinematics of the upper body.

Authors:  Roman P Kuster; Bernd Heinlein; Christoph M Bauer; Eveline S Graf
Journal:  Gait Posture       Date:  2016-04-13       Impact factor: 2.840

6.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

7.  A performance test for assessment of upper limb function in physical rehabilitation treatment and research.

Authors:  R C Lyle
Journal:  Int J Rehabil Res       Date:  1981       Impact factor: 1.479

8.  "Learned baduse" limits recovery of skilled reaching for food after forelimb motor cortex stroke in rats: a new analysis of the effect of gestures on success.

Authors:  Mariam Alaverdashvili; Afra Foroud; Diana H Lim; Ian Q Whishaw
Journal:  Behav Brain Res       Date:  2007-11-19       Impact factor: 3.332

9.  Reproducibility and minimal detectable change of three-dimensional kinematic analysis of reaching tasks in people with hemiparesis after stroke.

Authors:  Joanne M Wagner; Jennifer A Rhodes; Carolynn Patten
Journal:  Phys Ther       Date:  2008-03-06

10.  Using data from the Microsoft Kinect 2 to determine postural stability in healthy subjects: A feasibility trial.

Authors:  Behdad Dehbandi; Alexandre Barachant; Anna H Smeragliuolo; John Davis Long; Silverio Joseph Bumanlag; Victor He; Anna Lampe; David Putrino
Journal:  PLoS One       Date:  2017-02-14       Impact factor: 3.240

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