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

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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Bibliographic Details
Main Authors: Dante Trabassi, Mariano Serrao, Tiwana Varrecchia, Alberto Ranavolo, Gianluca Coppola, Roberto De Icco, Cristina Tassorelli, Stefano Filippo Castiglia
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Sensors
Subjects:
machine learning
artificial intelligence
gait analysis
Parkinson’s disease
harmonic ratio
K-nearest neighbors
Online Access:https://www.mdpi.com/1424-8220/22/10/3700

Internet

https://www.mdpi.com/1424-8220/22/10/3700

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