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The Use of Inertial Sensors for the Classification of Rehabilitation Exercises
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| Title: | The Use of Inertial Sensors for the Classification of Rehabilitation Exercises | Authors: | Giggins, Oonagh M.; Sweeney, Kevin T.; Caulfield, Brian | Permanent link: | http://hdl.handle.net/10197/8256 | Date: | 30-Aug-2014 | Online since: | 2017-01-05T12:36:33Z | Abstract: | The 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. | Type of material: | Conference Publication | Publisher: | IEEE | Copyright (published version): | 2014 IEEE | Keywords: | Personal sensing; Exercise biofeedback system; Inertial sensor; Musculoskeletal injury | DOI: | 10.1109/EMBC.2014.6944245 | Language: | en | Status of Item: | Peer reviewed | Conference Details: | 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Chicago, Illinois, United States of America, 26-30 August 2014 | This item is made available under a Creative Commons License: | https://creativecommons.org/licenses/by-nc-nd/3.0/ie/ |
| Appears in Collections: | CLARITY Research Collection Insight Research Collection |
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