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  5. The Use of Inertial Sensors for the Classification of Rehabilitation Exercises
 
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The Use of Inertial Sensors for the Classification of Rehabilitation Exercises

Author(s)
Giggins, Oonagh M.  
Sweeney, Kevin T.  
Caulfield, Brian  
Uri
http://hdl.handle.net/10197/8256
Date Issued
2014-08-30
Date Available
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
Subjects

Personal sensing

Exercise biofeedback ...

Inertial sensor

Musculoskeletal injur...

DOI
10.1109/EMBC.2014.6944245
Language
English
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/
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The use of Inertial sensors for the classification of rehabilation exercise.pdf

Size

327.08 KB

Format

Adobe PDF

Checksum (MD5)

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Owning collection
Insight Research Collection
Mapped collections
CLARITY Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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