Machine Learning Approach to Support the Detection of Parkinson’s Disease in IMU-Based Gait Analysis

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 extrapolate...

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Detalles Bibliográficos
Autores principales: Trabassi, Dante, Serrao, Mariano, Varrecchia, Tiwana, Ranavolo, Alberto, Coppola, Gianluca, De Icco, Roberto, Tassorelli, Cristina, Castiglia, Stefano Filippo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9148133/
https://www.ncbi.nlm.nih.gov/pubmed/35632109
http://dx.doi.org/10.3390/s22103700

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9148133/
https://www.ncbi.nlm.nih.gov/pubmed/35632109
http://dx.doi.org/10.3390/s22103700

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