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

INTRODUCTION: The 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 limb...

Descripción completa

Detalles Bibliográficos
Autores principales: Muñoz-Ospina, Beatriz, Alvarez-Garcia, Daniela, Clavijo-Moran, Hugo Juan Camilo, Valderrama-Chaparro, Jaime Andrés, García-Peña, Melisa, Herrán, Carlos Alfonso, Urcuqui, Christian Camilo, Navarro-Cadavid, Andrés, Orozco, Jorge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Human Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9160309/
https://www.ncbi.nlm.nih.gov/pubmed/35664343
http://dx.doi.org/10.3389/fnhum.2022.826376

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9160309/
https://www.ncbi.nlm.nih.gov/pubmed/35664343
http://dx.doi.org/10.3389/fnhum.2022.826376

Ejemplares similares