The Use of Inertial Sensors for the Classification of Rehabilitation Exercises

DC FieldValueLanguage
dc.contributor.authorGiggins, Oonagh M.-
dc.contributor.authorSweeney, Kevin T.-
dc.contributor.authorCaulfield, Brian- IEEEen
dc.description2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Chicago, Illinois, United States of America, 26-30 August 2014en
dc.description.abstractThe benefits of exercise in rehabilitation after orthopaedic surgery or following a musculoskeletal injury has been widely established. Within a hospital or clinical environment, adherence levels to rehabilitation exercise programs are high due to the supervision of the patient during the rehabilitation process. However, adherence levels drop significantly when patients are asked to perform the program at home. This paper describes the use of simple inertial sensors for the purpose of developing a biofeedback system to monitor adherence to rehabilitation programs. The results show that a single sensor can accurately distinguish between seven commonly prescribed rehabilitation exercises with accuracies between 93% and 95%. Results also show that the use of multiple sensor units does not significantly improve results therefore suggesting that a single sensor unit can be used as an input to an exercise biofeedback system.en
dc.rights© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en
dc.subjectPersonal sensingen
dc.subjectExercise biofeedback systemen
dc.subjectInertial sensoren
dc.subjectMusculoskeletal injuryen
dc.titleThe Use of Inertial Sensors for the Classification of Rehabilitation Exercisesen
dc.typeConference Publicationen
dc.statusPeer revieweden
dc.neeo.contributorGiggins|Oonagh M.|aut|-
dc.neeo.contributorSweeney|Kevin T.|aut|-
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