2026-05-14T03:46:24Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/88602024-03-21T01:05:17Zcom_10259_4415com_10259_3989com_10259.4_106com_10259_2604com_10259_4219com_10259_5086col_10259_4416col_10259_4220

Amo Salas, Javier 1043e97b-1c0c-4663-80a4-dd6f8fbd7b48 600 Olivares Gil, Alicia 749 600 0000-0002-3378-197X García Bustillo, Álvaro d452db32-0bde-4d5e-8235-22d8928ca130 600 García García, David c9375b12-569a-46d3-a3ba-c7769e1c5dbb 600 Arnaiz González, Álvar 39 600 0000-0001-6965-0237 Cubo Delgado, Esther 131 600 0000-0003-0018-1182 2024-03-20T12:18:30Z 2024-03-20T12:18:30Z 2024-02 http://hdl.handle.net/10259/8860 10.3390/healthcare12040439 2227-9032 Parkinson’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. 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. application/pdf eng MDPI Healthcare. 2024, V. 12, n. 4, 439 https://doi.org/10.3390/healthcare12040439 Atribución 4.0 Internacional http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Parkinson’s disease Finger tapping Machine learning Computer vision Sistema nervioso-Enfermedades Tecnología Informática Neurología Nervous system-Diseases Technology Computer science Neurology Computer Vision for Parkinson’s Disease Evaluation: A Survey on Finger Tapping info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Healthcare 12 4 THUMBNAIL Amo-healthcare_2024.pdf.jpg Amo-healthcare_2024.pdf.jpg IM Thumbnail image/jpeg 4696 https://riubu.ubu.es/bitstream/10259/8860/4/Amo-healthcare_2024.pdf.jpg 492ead08b6e7df4084daeab2c2248cff MD5 4 LICENSE license.txt license.txt text/plain; charset=utf-8 999 https://riubu.ubu.es/bitstream/10259/8860/3/license.txt b295bcbce42e2caabeb0c623d3860c06 MD5 3 CC-LICENSE license_rdf license_rdf application/rdf+xml; charset=utf-8 908 https://riubu.ubu.es/bitstream/10259/8860/2/license_rdf 0175ea4a2d4caec4bbcc37e300941108 MD5 2 ORIGINAL Amo-healthcare_2024.pdf Amo-healthcare_2024.pdf application/pdf 488257 https://riubu.ubu.es/bitstream/10259/8860/1/Amo-healthcare_2024.pdf 2126cc587bce343bf344cdb616854125 MD5 1 10259/8860 oai:riubu.ubu.es:10259/8860 2024-03-21 02:05:17.172 Repositorio Institucional de la Universidad de Burgos bubrep@ubu.es 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