Application of Inertial Measurement Units and Machine Learning Classification in Cerebral Palsy: Randomized Controlled Trial
Access Status
Open access
Authors
Pan, Huizhu
Borazjani, Bita
Murray, Iain
Agrawal, Himanshu
Liu, W
Elliott, Catherine
Imms, C
Campbell, Amity
Walmsley, Corrin
Date
2021Type
Journal Article
Metadata
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Khaksar, S. Khaksar S, Pan H, Borazjani B, Murray I, Agrawal H, Liu W, Elliott C, Imms C, Campbell A, Walmsley C. 2021. Application of Inertial Measurement Units and Machine Learning Classification in Cerebral Palsy: Randomized Controlled Trial. JMIR Rehabilitation and Assistive Technologies. 8 (4): Article No. e29769
Source Title
JMIR Rehabilitation and Assistive Technologies
DOI
Faculty
Faculty of Science and Engineering
School
School of Elec Eng, Comp and Math Sci (EECMS)
Funding and Sponsorship
Collection
Abstract
This paper presents collaborative research between the School of Electrical Engineering, Computing and Mathematical Sciences at Curtin University and a team of clinicians in a multicenter randomized controlled trial involving children with CP. This study aims to develop a digital solution for mass data collection using inertial measurement units (IMUs) and the application of machine learning (ML) to classify the movement features associated with CP to determine the effectiveness of therapy. The results were calculated without the need to measure Euler, quaternion, and joint measurement calculation, reducing the time required to classify the data.
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by/4.0/
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