Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/31075
Title: Assessment of Scapulothoracic, Glenohumeral, and Elbow Motion in Adhesive Capsulitis by Means of Inertial Sensor Technology: A Within-Session, Intra-Operator and Inter-Operator Reliability and Agreement Study
Authors: DE BAETS, Liesbet 
VANBRABANT, Stefanie 
DIERICKX, Carl 
VAN DER STRAATEN, Rob 
TIMMERMANS, Annick 
Issue Date: 2020
Publisher: MDPI
Source: SENSORS, 20 (3) (Art N° 876)
Abstract: Adhesive capsulitis (AC) is a glenohumeral (GH) joint condition, characterized by decreased GH joint range of motion (ROM) and compensatory ROM in the elbow and scapulothoracic (ST) joint. To evaluate AC progression in clinical settings, objective movement analysis by available systems would be valuable. This study aimed to assess within-session and intra-and inter-operator reliability/agreement of such a motion capture system. The MVN-Awinda®system from Xsens Technologies (Enschede, The Netherlands) was used to assess ST, GH, and elbow ROM during four tasks (GH external rotation, combing hair, grasping a seatbelt, placing a cup on a shelf) in 10 AC patients (mean age = 54 (±6), 7 females), on two test occasions (accompanied by different operators on second occasion). Standard error of measurements (SEMs) were below 1.5 • for ST pro-retraction and 4.6 • for GH in-external rotation during GH external rotation; below 6.6 • for ST tilt, 6.4 • for GH flexion-extension, 7.1 • for elbow flexion-extension during combing hair; below 4.4 • for GH ab-adduction, 13 • for GH in-external rotation, 6.8 • for elbow flexion-extension during grasping the seatbelt; below 11 • for all ST and GH joint rotations during placing a cup on a shelf. Therefore, to evaluate AC progression, inertial sensors systems can be applied during the execution of functional tasks.
Keywords: scapula;frozen shoulder;adhesive capsulitis;reliability;shoulder;kinematic
Document URI: http://hdl.handle.net/1942/31075
e-ISSN: 1424-8220
DOI: 10.3390/s20030876
ISI #: WOS:000517786200300
Rights: 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Category: A1
Type: Journal Contribution
Validations: ecoom 2021
Appears in Collections:Research publications

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