Computer Vision for Parkinson’s Disease Evaluation: A Survey on Finger Tapping
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, w...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-02-01
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| Series: | Healthcare |
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| Online Access: | https://www.mdpi.com/2227-9032/12/4/439 |
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| author | Javier Amo-Salas Alicia Olivares-Gil Álvaro García-Bustillo David García-García Álvar Arnaiz-González Esther Cubo |
| author_facet | Javier Amo-Salas Alicia Olivares-Gil Álvaro García-Bustillo David García-García Álvar Arnaiz-González Esther Cubo |
| author_sort | Javier Amo-Salas |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-07T22:30:20Z |
| format | Article |
| id | doaj.art-2656f4e951bb416ba965b9aed9f6fb4a |
| institution | Directory Open Access Journal |
| issn | 2227-9032 |
| language | English |
| last_indexed | 2024-03-07T22:30:20Z |
| publishDate | 2024-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Healthcare |
| spelling | doaj.art-2656f4e951bb416ba965b9aed9f6fb4a2024-02-23T15:18:15ZengMDPI AGHealthcare2227-90322024-02-0112443910.3390/healthcare12040439Computer Vision for Parkinson’s Disease Evaluation: A Survey on Finger TappingJavier Amo-Salas0Alicia Olivares-Gil1Álvaro García-Bustillo2David García-García3Álvar Arnaiz-González4Esther Cubo5Escuela Politécnica Superior, Departamento de Ingeniería Informática, Universidad de Burgos, 09001 Burgos, SpainEscuela Politécnica Superior, Departamento de Ingeniería Informática, Universidad de Burgos, 09001 Burgos, SpainFacultad de Ciencias de la Salud, Departamento de Ciencias de la Salud, Universidad de Burgos, 09001 Burgos, SpainEscuela Politécnica Superior, Departamento de Ingeniería Informática, Universidad de Burgos, 09001 Burgos, SpainEscuela Politécnica Superior, Departamento de Ingeniería Informática, Universidad de Burgos, 09001 Burgos, SpainServicio de Neurología, Hospital Universitario de Burgos, 09006 Burgos, SpainParkinson’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.https://www.mdpi.com/2227-9032/12/4/439Parkinson’s diseasefinger tappingmachine learningcomputer vision |
| spellingShingle | Javier Amo-Salas Alicia Olivares-Gil Álvaro García-Bustillo David García-García Álvar Arnaiz-González Esther Cubo Computer Vision for Parkinson’s Disease Evaluation: A Survey on Finger Tapping Healthcare Parkinson’s disease finger tapping machine learning computer vision |
| title | Computer Vision for Parkinson’s Disease Evaluation: A Survey on Finger Tapping |
| title_full | Computer Vision for Parkinson’s Disease Evaluation: A Survey on Finger Tapping |
| title_fullStr | Computer Vision for Parkinson’s Disease Evaluation: A Survey on Finger Tapping |
| title_full_unstemmed | Computer Vision for Parkinson’s Disease Evaluation: A Survey on Finger Tapping |
| title_short | Computer Vision for Parkinson’s Disease Evaluation: A Survey on Finger Tapping |
| title_sort | computer vision for parkinson s disease evaluation a survey on finger tapping |
| topic | Parkinson’s disease finger tapping machine learning computer vision |
| url | https://www.mdpi.com/2227-9032/12/4/439 |
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