Machine Learning Approach to Support the Detection of Parkinson’s Disease in IMU-Based Gait Analysis
Machine Learning Approach to Support the Detection of Parkinson’s Disease in IMU-Based Gait Analysis
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Publisher
Switzerland: MDPI AG
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Language
English
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Publisher
Switzerland: MDPI AG
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Contents
The aim of this study was to determine which supervised machine learning (ML) algorithm can most accurately classify people with Parkinson’s disease (pwPD) from speed-matched healthy subjects (HS) based on a selected minimum set of IMU-derived gait features. Twenty-two gait features were extrapolated from the trunk acceleration patterns of 81 pwPD...
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Full title
Machine Learning Approach to Support the Detection of Parkinson’s Disease in IMU-Based Gait Analysis
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TN_cdi_doaj_primary_oai_doaj_org_article_f61e9b3181e14cff9dcb97224efba24b
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f61e9b3181e14cff9dcb97224efba24b
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s22103700
