Publication:
Smartphone-based audio-biofeedback system for shoulder joint tele-rehabilitation

dc.contributor.authorKanmanus Ongvisatepaiboonen_US
dc.contributor.authorVajirasak Vanijjaen_US
dc.contributor.authorMark Chignellen_US
dc.contributor.authorKeerin Mekhoraen_US
dc.contributor.authorJonathan H. Chanen_US
dc.contributor.otherKing Mongkut s University of Technology Thonburien_US
dc.contributor.otherUniversity of Torontoen_US
dc.contributor.otherMahidol Universityen_US
dc.date.accessioned2018-12-11T03:32:59Z
dc.date.accessioned2019-03-14T08:02:11Z
dc.date.available2018-12-11T03:32:59Z
dc.date.available2019-03-14T08:02:11Z
dc.date.issued2016-08-01en_US
dc.description.abstractCopyright © 2016 American Scientific Publishers All rights reserved. Shoulder pain is one of the most commonly occurring health conditions in ordinary people as a result of improper or excessive arm usage. Patients with shoulder pain are not able to move their arm normally and usually need to visit a healthcare center to get proper rehabilitation. However, there is a cost in traveling and an elaborate procedure is used by the physiotherapist. Most prior works in the literature have tried to improve the assessment method in terms of range of motion (ROM) angle movement because they are concerned about the accuracy and reliability of the measurement and disease consideration. In this work, we proposed a new tele-rehabilitation system using an audio-biofeedback (ABF) technique that can lead patients to improved rehabilitation performance compared to a previously developed system without auditory aid. Twenty volunteers (11 men and 9 women) participated in our experiment to compare performance between ABF and non-ABF systems. The result shows that the ABF system performed significantly better than non-ABF system for all three target angles of rehabilitation exercise (90, 120, and 150 degrees) (p < .001). Therefore, it can be concluded that using the proposed tele-rehabilitation system with ABF can lead patients to better rehab performance and would enable them to reduce traveling costs and time.en_US
dc.identifier.citationJournal of Medical Imaging and Health Informatics. Vol.6, No.4 (2016), 1127-1134en_US
dc.identifier.doi10.1166/jmihi.2016.1810en_US
dc.identifier.issn21567026en_US
dc.identifier.issn21567018en_US
dc.identifier.other2-s2.0-84988354284en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/41250
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84988354284&origin=inwarden_US
dc.subjectMedicineen_US
dc.titleSmartphone-based audio-biofeedback system for shoulder joint tele-rehabilitationen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84988354284&origin=inwarden_US

Files

Collections