Amo-Salas Javier, Olivares-Gil Alicia, García-Bustillo Álvaro, García-García David, Arnaiz-González Álvar, Cubo Esther
Escuela Politécnica Superior, Departamento de Ingeniería Informática, Universidad de Burgos, 09001 Burgos, Spain.
Facultad de Ciencias de la Salud, Departamento de Ciencias de la Salud, Universidad de Burgos, 09001 Burgos, Spain.
Healthcare (Basel). 2024 Feb 8;12(4):439. doi: 10.3390/healthcare12040439.
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.
帕金森病（PD）是一种进行性神经退行性疾病，其患病率多年来一直在稳步上升。世界各地的专业神经科医生对帕金森病患者进行评估和诊断，尽管诊断过程耗时，且各种症状需要数年时间才会出现，这意味着诊断容易出现人为错误。因此，通过计算过程实现帕金森病评估和诊断的部分自动化已经被考虑了一段时间。一种著名的帕金森病评估工具是手指敲击（FT），现在可以通过计算机视觉（CV）进行评估。近几十年来人工智能及相关进展，更具体地说是在计算机视觉领域的进展，使得开发能够帮助专家评估和诊断帕金森病的计算机系统成为可能。本研究的目的是回顾一些与计算机视觉技术和手指敲击相关的进展，以便深入了解技术进步目前正在开辟的未来研究方向。
