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Application of Inertial Measurement Units and Machine Learning Classification in Cerebral Palsy: Randomized Controlled Trial

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Open access
Authors
Khaksar, Siavash
Pan, Huizhu
Borazjani, Bita
Murray, Iain
Agrawal, Himanshu
Liu, W
Elliott, Catherine
Imms, C
Campbell, Amity
Walmsley, Corrin
Date
2021
Type
Journal Article

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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
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JMIR Rehabilitation and Assistive Technologies
DOI
Faculty
Faculty of Science and Engineering
School
School of Elec Eng, Comp and Math Sci (EECMS)
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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.

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