RT info:eu-repo/semantics/article
T1 Computer Vision for Parkinson’s Disease Evaluation: A Survey on Finger Tapping
A1 Amo Salas, Javier
A1 Olivares Gil, Alicia
A1 García Bustillo, Álvaro
A1 García García, David
A1 Arnaiz González, Álvar
A1 Cubo Delgado, Esther
K1 Parkinson’s disease
K1 Finger tapping
K1 Machine learning
K1 Computer vision
K1 Sistema nervioso-Enfermedades
K1 Nervous system-Diseases
K1 Tecnología
K1 Technology
K1 Informática
K1 Computer science
K1 Neurología
K1 Neurology
AB Parkinson’s disease (PD) is a progressive neurodegenerative disorder whose prevalence hassteadily been rising over the years. Specialist neurologists across the world assess and diagnose patientswith PD, although the diagnostic process is time-consuming and various symptoms take years to appear,which means that the diagnosis is prone to human error. The partial automatization of PD assessmentand diagnosis through computational processes has therefore been considered for some time. Onewell-known tool for PD assessment is finger tapping (FT), which can now be assessed through computervision (CV). Artificial intelligence and related advances over recent decades, more specifically in thearea of CV, have made it possible to develop computer systems that can help specialists assess anddiagnose PD. The aim of this study is to review some advances related to CV techniques and FT so asto offer insight into future research lines that technological advances are now opening up.
PB MDPI
YR 2024
FD 2024-02
LK http://hdl.handle.net/10259/8860
UL http://hdl.handle.net/10259/8860
LA eng
NO This work was supported by the project PI19/00670 of the Ministerio de Ciencia, Innovación y Universidades, Instituto de Salud Carlos III, Spain. Also, this work was partially supported by the European Social Fund, as Alicia Olivares-Gil is the recipient of a predoctoral grant (EDU/875/2021) from the Consejería de Educación de la Junta de Castilla y León.
DS Repositorio Institucional de la Universidad de Burgos
RD 08-may-2024