Literature DB >> 30947108

Reliability and validity of the Kinect V2 for the assessment of lower extremity rehabilitation exercises.

Monique Wochatz1, Nina Tilgner2, Steffen Mueller3, Sophie Rabe4, Sarah Eichler4, Michael John5, Heinz Völler4, Frank Mayer2.   

Abstract

BACKGROUND: Besides its initial use as a video gaming system the Kinect might also be suitable to capture human movements in the clinical context. However, the system's reliability and validity to capture rehabilitation exercises is unclear. RESEARCH QUESTION: The purpose of this study was to evaluate the test-retest reliability of lower extremity kinematics during squat, hip abduction and lunge exercises captured by the Kinect and to evaluate the agreement to a reference 3D camera-based motion system.
METHODS: Twenty-one healthy individuals performed five repetitions of each lower limb exercise on two different days. Movements were simultaneously assessed by the Kinect and the reference 3D motion system. Joint angles and positions of the lower limb were calculated for sagittal and frontal plane. For the inter-session reliability and the agreement between the two systems standard error of measurement (SEM), bias with limits of agreement (LoA) and Pearson Correlation Coefficient (r) were calculated.
RESULTS: Parameters indicated varying reliability for the assessed joint angles and positions and decreasing reliability with increasing task complexity. Across all exercises, measurement deviations were shown especially for small movement amplitudes. Variability was acceptable for joint angles and positions during the squat, partially acceptable during the hip abduction and predominately inacceptable during the lunge. The agreement between systems was characterized by systematic errors. Overestimations by the Kinect were apparent for hip flexion during the squat and hip abduction/adduction during the hip abduction exercise as well as for the knee positions during the lunge. Knee and hip flexion during hip abduction and lunge were underestimated by the Kinect. SIGNIFICANCE: The Kinect system can reliably assess lower limb joint angles and positions during simple exercises. The validity of the system is however restricted. An application in the field of early orthopedic rehabilitation without further development of post-processing techniques seems so far limited.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Agreement; Markerless motion capture system; Reproducibility; Telerehabilitation

Mesh:

Year:  2019        PMID: 30947108     DOI: 10.1016/j.gaitpost.2019.03.020

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  11 in total

1.  Physically Consistent Whole-Body Kinematics Assessment Based on an RGB-D Sensor. Application to Simple Rehabilitation Exercises.

Authors:  Jessica Colombel; Vincent Bonnet; David Daney; Raphael Dumas; Antoine Seilles; François Charpillet
Journal:  Sensors (Basel)       Date:  2020-05-17       Impact factor: 3.576

2.  Reliability and validity of a novel Kinect-based software program for measuring a single leg squat.

Authors:  John Ressman; Eva Rasmussen-Barr; Wilhelmus Johannes Andreas Grooten
Journal:  BMC Sports Sci Med Rehabil       Date:  2020-05-11

3.  The Effectiveness of Telerehabilitation as a Supplement to Rehabilitation in Patients After Total Knee or Hip Replacement: Randomized Controlled Trial.

Authors:  Sarah Eichler; Annett Salzwedel; Sophie Rabe; Steffen Mueller; Frank Mayer; Monique Wochatz; Miralem Hadzic; Michael John; Karl Wegscheider; Heinz Völler
Journal:  JMIR Rehabil Assist Technol       Date:  2019-11-07

4.  Provider confidence in the telemedicine spine evaluation: results from a global study.

Authors:  Francis Lovecchio; Grant J Riew; Dino Samartzis; Philip K Louie; Niccole Germscheid; Howard S An; Jason Pui Yin Cheung; Norman Chutkan; Gary Michael Mallow; Marko H Neva; Frank M Phillips; Daniel M Sciubba; Mohammad El-Sharkawi; Marcelo Valacco; Michael H McCarthy; Melvin C Makhni; Sravisht Iyer
Journal:  Eur Spine J       Date:  2020-11-22       Impact factor: 3.134

Review 5.  A Review on the Use of Microsoft Kinect for Gait Abnormality and Postural Disorder Assessment.

Authors:  Anthony Bawa; Konstantinos Banitsas; Maysam Abbod
Journal:  J Healthc Eng       Date:  2021-11-01       Impact factor: 2.682

Review 6.  A SWOT Analysis of Portable and Low-Cost Markerless Motion Capture Systems to Assess Lower-Limb Musculoskeletal Kinematics in Sport.

Authors:  Cortney Armitano-Lago; Dominic Willoughby; Adam W Kiefer
Journal:  Front Sports Act Living       Date:  2022-01-25

7.  Determining the Optimal Virtual Reality Exergame Approach for Balance Therapy in Persons With Neurological Disorders Using a Rasch Analysis: Longitudinal Observational Study.

Authors:  Evelyne Wiskerke; Jan Kool; Roger Hilfiker; Karl Martin Sattelmayer; Geert Verheyden
Journal:  JMIR Serious Games       Date:  2022-03-22       Impact factor: 3.364

8.  Telemedicine in the Era of COVID-19: The Virtual Orthopaedic Examination.

Authors:  Miho J Tanaka; Luke S Oh; Scott D Martin; Eric M Berkson
Journal:  J Bone Joint Surg Am       Date:  2020-06-17       Impact factor: 6.558

9.  A Novel Method of Human Joint Prediction in an Occlusion Scene by Using Low-cost Motion Capture Technique.

Authors:  Jianwei Niu; Xiai Wang; Dan Wang; Linghua Ran
Journal:  Sensors (Basel)       Date:  2020-02-18       Impact factor: 3.576

Review 10.  Advanced rehabilitation technology in orthopaedics-a narrative review.

Authors:  Yuichi Kuroda; Matthew Young; Haitham Shoman; Anuj Punnoose; Alan R Norrish; Vikas Khanduja
Journal:  Int Orthop       Date:  2020-10-13       Impact factor: 3.075

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