Machine Learning Classifiers to Evaluate Data From Gait Analysis With Depth Cameras in Patients With Parkinson’s Disease

Machine Learning Classifiers to Evaluate Data From Gait Analysis With Depth Cameras in Patients With Parkinson’s Disease

IntroductionThe assessments of the motor symptoms in Parkinson’s disease (PD) are usually limited to clinical rating scales (MDS UPDRS III), and it depends on the clinician’s experience. This study aims to propose a machine learning technique algorithm using the variables from upper and lower limbs,...

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Bibliographic Details
Main Authors: Beatriz Muñoz-Ospina, Daniela Alvarez-Garcia, Hugo Juan Camilo Clavijo-Moran, Jaime Andrés Valderrama-Chaparro, Melisa García-Peña, Carlos Alfonso Herrán, Christian Camilo Urcuqui, Andrés Navarro-Cadavid, Jorge Orozco
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Human Neuroscience
Subjects:
Parkinson’s disease
gait
biomechanics
kinect
depth camera
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2022.826376/full

Internet

https://www.frontiersin.org/articles/10.3389/fnhum.2022.826376/full

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