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dc.contributor.authorAmo Salas, Javier
dc.contributor.authorOlivares Gil, Alicia 
dc.contributor.authorGarcía Bustillo, Álvaro 
dc.contributor.authorGarcía García, David 
dc.contributor.authorArnaiz González, Álvar 
dc.contributor.authorCubo Delgado, Esther 
dc.date.accessioned2024-03-20T12:18:30Z
dc.date.available2024-03-20T12:18:30Z
dc.date.issued2024-02
dc.identifier.urihttp://hdl.handle.net/10259/8860
dc.description.abstractParkinson’s disease (PD) is a progressive neurodegenerative disorder whose prevalence has steadily been rising over the years. Specialist neurologists across the world assess and diagnose patients with 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 assessment and diagnosis through computational processes has therefore been considered for some time. One well-known tool for PD assessment is finger tapping (FT), which can now be assessed through computer vision (CV). Artificial intelligence and related advances over recent decades, more specifically in the area of CV, have made it possible to develop computer systems that can help specialists assess and diagnose PD. The aim of this study is to review some advances related to CV techniques and FT so as to offer insight into future research lines that technological advances are now opening up.en
dc.description.sponsorshipThis 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.en
dc.format.mimetypeapplication/pdf
dc.language.isoenges
dc.publisherMDPIen
dc.relation.ispartofHealthcare. 2024, V. 12, n. 4, 439en
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectParkinson’s diseaseen
dc.subjectFinger tappingen
dc.subjectMachine learningen
dc.subjectComputer visionen
dc.subject.otherSistema nervioso-Enfermedadeses
dc.subject.otherNervous system-Diseasesen
dc.subject.otherTecnologíaes
dc.subject.otherTechnologyen
dc.subject.otherInformáticaes
dc.subject.otherComputer scienceen
dc.subject.otherNeurologíaes
dc.subject.otherNeurologyen
dc.titleComputer Vision for Parkinson’s Disease Evaluation: A Survey on Finger Tappingen
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.relation.publisherversionhttps://doi.org/10.3390/healthcare12040439es
dc.identifier.doi10.3390/healthcare12040439
dc.identifier.essn2227-9032
dc.journal.titleHealthcareen
dc.volume.number12es
dc.issue.number4es
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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