Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/27855
Title: | Motion detection supported exercise therapy in musculoskeletal disorders: a systematic review | Authors: | VERBRUGGHE, Jonas KNIPPENBERG, Els Palmaers, Steven MATHEVE, Thomas SMEETS, Wout FEYS, Peter SPOOREN, Annemie TIMMERMANS, Annick |
Issue Date: | 2018 | Source: | European Journal of Physical and Rehabilitation Medicine, 54(4), p. 591-604 | Abstract: | INTRODUCTION: Musculoskeletal disorders (MSDs) are a burden on the healthcare system. Exercise therapy is an important part of MSD rehabilitation. Motion detection systems are developed to support exercise therapy settings. This systematic review aimed: 1) at investigating which types of motion detection systems have been used as a technological support for exercise therapy; 2) at investigating the characteristics of motion detection supported exercise therapy in relation to its clinical indications; and 3) at evaluating the effectiveness of motion detection supported exercise therapy, in MSD rehabilitation. EVIDENCE AQCUISITION: A systematic literature search for RCTs was performed in six databases (PubMed, CINAHL, EMBASE, ACM, Cochrane, and IEEE). Studies eligible for inclusion had to evaluate exercise therapy for persons with MSDs, provide a motion detection system capable of as well measuring active movement of the participant during exercise therapy as evaluating the movement in order to provide qualitative feedback, and should present at least one measure of the following ICF function (pain, muscle strength, mobility), activity (disease-related functional disability, balance) or participation (quality of life) level. Two reviewers independently screened articles, appraised study quality, extracted data, and evaluated effectiveness of selected outcome measures. This review was registered in the International prospective register of systematic reviews (Prospero) under registration number CRD42016035273. EVIDENCE SYNTHESIS: Nine RCTs (N.=432 participants) were included. Eight different motion detection technologies were used such as an accelerometer, gyroscope, magnetometer etc. All systems provided visual feedback. Knee disorders were evaluated most frequently, followed by low back pain and shoulder disorders. Therapy consisted of mobility, balance or proprioception exercises. Main outcomes were pain, disability, mobility and muscle strength. Motion detection supported exercise therapy showed similar or enhanced results on all outcomes compared to conventional exercise therapy. However, a limitation of this study was the low methodological quality of the studies. CONCLUSIONS: To date, a variety of motion detection systems have been developed to support the rehabilitation of MSDs. Results show similar effectiveness of motion detection supported exercise therapy compared to conventional exercise therapy. More research is needed to provide insight in the added value of motion detection systems in musculoskeletal rehabilitation. | Keywords: | Musculoskeletal diseases; Rehabilitation; Exercise therapy; Technology | Document URI: | http://hdl.handle.net/1942/27855 | ISSN: | 1973-9087 | e-ISSN: | 1973-9095 | DOI: | 10.23736/S1973-9087.18.04614-2 | ISI #: | 000445298800010 | Rights: | Copyright © 2018 EDIZIONI MINERVA MEDICA | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2019 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
R33Y2018N04A0591.pdf Restricted Access | Published version | 493.16 kB | Adobe PDF | View/Open Request a copy |
SCOPUSTM
Citations
5
checked on Sep 5, 2020
WEB OF SCIENCETM
Citations
12
checked on Oct 13, 2024
Page view(s)
56
checked on Aug 31, 2022
Download(s)
16
checked on Aug 31, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.