Literature DB >> 26341024

Measurement of active shoulder motion using the Kinect, a commercially available infrared position detection system.

Frederick A Matsen1, Alexander Lauder2, Kyle Rector2, Peyton Keeling2, Arien L Cherones2.   

Abstract

BACKGROUND: The shoulder's ability to participate in sports and activities of daily living depends on its active range of motion. Clinical goniometry is of limited utility in rigorously assessing limitation of motion and the effectiveness of treatment. We sought to determine (1) whether a validated position-sensing tool, the Kinect, can enable the objective clinical measurement of shoulder motion and (2) the degree to which active range of motion correlates with patient self-assessed shoulder function.
METHODS: In 10 control subjects, we compared Kinect motion measurements to measurements made on standardized anteroposterior and lateral photographs taken concurrently. In 51 patients, we correlated active motion with the ability to perform the functions of the Simple Shoulder Test (SST).
RESULTS: In controls, Kinect measurements strongly agreed with photographic measurements. In patients, the total SST score was strongly correlated with the range of active abduction. The ability to perform each of the individual SST functions was strongly correlated with active motion. The active motion in well-functioning patient shoulders averaged 155° ± 22° abduction, 159° ± 14° flexion, 76° ± 18° external rotation in abduction, -59° ± 25° internal rotation in abduction, and -3.3 ± 3.7 inches of cross-body adduction, values similar to the control shoulders. Use of the Kinect system was practical in clinical examination rooms, requiring <5 minutes to document the 5 motions in both shoulders. DISCUSSION: The Kinect provides a clinically practical method for objectively measuring active shoulder motion. Active motion was an important determinant of patient-assessed shoulder function.
Copyright © 2016 Journal of Shoulder and Elbow Surgery Board of Trustees. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Shoulder; active; measurement; motion

Mesh:

Year:  2015        PMID: 26341024     DOI: 10.1016/j.jse.2015.07.011

Source DB:  PubMed          Journal:  J Shoulder Elbow Surg        ISSN: 1058-2746            Impact factor:   3.019


  5 in total

1.  The contribution of the scapula to active shoulder motion and self-assessed function in three hundred and fifty two patients prior to elective shoulder surgery.

Authors:  Jason E Hsu; David Andrew Hulet; Chris McDonald; Anastasia Whitson; Stacy M Russ; Frederick A Matsen
Journal:  Int Orthop       Date:  2018-07-09       Impact factor: 3.075

2.  Significant improvement in patient self-assessed comfort and function at six weeks after the smooth and move procedure for shoulders with irreparable rotator cuff tears and retained active elevation.

Authors:  Frederick A Matsen; Anastasia Whitson; Sarah E Jackins; Jason E Hsu
Journal:  Int Orthop       Date:  2019-03-22       Impact factor: 3.075

3.  A High Spatial Resolution Depth Sensing Method Based on Binocular Structured Light.

Authors:  Huimin Yao; Chenyang Ge; Jianru Xue; Nanning Zheng
Journal:  Sensors (Basel)       Date:  2017-04-08       Impact factor: 3.576

4.  Kinect-based assessment of proximal arm non-use after a stroke.

Authors:  K K A Bakhti; I Laffont; M Muthalib; J Froger; D Mottet
Journal:  J Neuroeng Rehabil       Date:  2018-11-14       Impact factor: 4.262

5.  Comparison of Motion Analysis Systems in Tracking Upper Body Movement of Myoelectric Bypass Prosthesis Users.

Authors:  Sophie L Wang; Gene Civillico; Wesley Niswander; Kimberly L Kontson
Journal:  Sensors (Basel)       Date:  2022-04-12       Impact factor: 3.847

  5 in total

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