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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Detalhes bibliográficos

Principais autores:	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
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2022-05-01
coleção:	Frontiers in Human Neuroscience
Assuntos:	Parkinson’s disease gait biomechanics kinect depth camera machine learning
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fnhum.2022.826376/full
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