Literature DB >> 31882393

Reliability and validity analyzes of Kinect V2 based measurement system for shoulder motions.

Burakhan Çubukçu1, Uğur Yüzgeç2, Raif Zileli3, Ahu Zileli4.   

Abstract

Telerehabilitation systems provide some advantages against the classic rehabilitation methods. The ability of the shoulders depends on active motion range of them to do activities in daily life and to do sports. To evaluate the shoulder motions, range of motion (ROM) measurement is a basic method. Clinical goniometer and digital goniometer are the most commonly used measurement tools. However, these measurement tools have some deficiencies and difficulties. In this paper, we consider a Kinect One Sensor (Kinect V2) based measurement system for shoulder motions as an alternative method. The aim of this study is to examine the reliability and validity analyzes of the proposed shoulder measurement system. Three systems were used to evaluate validity of the Kinect V2 to measure shoulder motions: Kinect V2 based system, clinical goniometer and digital goniometer. One expert physical therapist measured shoulder abduction, flexion, external rotation, internal rotation and extension ROM values using a clinical goniometer and a digital goniometer in 40 healthy volunteers (22 males, 18 females, and 19-33 years old). All poses for each shoulder motion were captured with the Kinect V2 based system again and the ROM values were calculated. These procedures were carried out with all of the volunteer participants in three repetitions. In reliability for Kinect V2 based shoulder motion measurement system, we used the intraclass correlation coefficients (ICC), standard error of the measure (SEM), minimal detectable change (MDC). The validity test includes the 95% limits of agreement (LOA) and mean difference between the Kinect V2 based system and the both of the goniometer systems for measuring shoulder motions. The high ICC values show that the Kinect V2 based shoulder motion measurement system has very good intra-rater reliability for abduction, flexion, external rotation, internal rotation shoulder poses. For extension pose, it has good reliability result according to the ICC value. The validity analysis gives good results for all shoulder poses except internal rotation between Kinect V2 and clinical/digital goniometer. As a result, Kinect V2 based measurement system is a reliable and valid alternative telerehabilitation tool for shoulder motions.
Copyright © 2019. Published by Elsevier Ltd.

Entities:  

Keywords:  Kinect V2; Measurement; Reliability; Shoulder pose; Validity

Year:  2019        PMID: 31882393     DOI: 10.1016/j.medengphy.2019.10.017

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  8 in total

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Journal:  Int J Exerc Sci       Date:  2022-07-01

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

Review 4.  Upper Limb Movement Measurement Systems for Cerebral Palsy: A Systematic Literature Review.

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Journal:  Sensors (Basel)       Date:  2021-11-26       Impact factor: 3.576

5.  Validity and Reliability of Kinect v2 for Quantifying Upper Body Kinematics during Seated Reaching.

Authors:  Germain Faity; Denis Mottet; Jérôme Froger
Journal:  Sensors (Basel)       Date:  2022-04-02       Impact factor: 3.576

6.  Virtual Reality for Shoulder Rehabilitation: Accuracy Evaluation of Oculus Quest 2.

Authors:  Arianna Carnevale; Ilaria Mannocchi; Mohamed Saifeddine Hadj Sassi; Marco Carli; Giovanna De Luca; Umile Giuseppe Longo; Vincenzo Denaro; Emiliano Schena
Journal:  Sensors (Basel)       Date:  2022-07-23       Impact factor: 3.847

7.  Health-Enabling Technologies for Telerehabilitation of the Shoulder: A Feasibility and User Acceptance Study.

Authors:  Bianca Steiner; Lena Elgert; Birgit Saalfeld; Jonas Schwartze; Horst Peter Borrmann; Axel Kobelt-Pönicke; Andreas Figlewicz; Detlev Kasprowski; Michael Thiel; Ralf Kreikebohm; Reinhold Haux; Klaus-Hendrik Wolf
Journal:  Methods Inf Med       Date:  2020-08-10       Impact factor: 2.176

8.  Kinect v2-Assisted Semi-Automated Method to Assess Upper Limb Motor Performance in Children.

Authors:  Celia Francisco-Martínez; José A Padilla-Medina; Juan Prado-Olivarez; Francisco J Pérez-Pinal; Alejandro I Barranco-Gutiérrez; Juan J Martínez-Nolasco
Journal:  Sensors (Basel)       Date:  2022-03-15       Impact factor: 3.576

  8 in total

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