Exploring the application and challenges of fNIRS technology in early detection of Parkinson’s disease

Exploring the application and challenges of fNIRS technology in early detection of Parkinson’s disease

BackgroundParkinson’s disease (PD) is a prevalent neurodegenerative disorder that significantly benefits from early diagnosis for effective disease management and intervention. Despite advancements in medical technology, there remains a critical gap in the early and non-invasive detection of PD. Cur...

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Bibliographic Details
Main Authors: Pengsheng Hui, Yu Jiang, Jie Wang, Congxiao Wang, Yingqi Li, Boyan Fang, Hujun Wang, Yingpeng Wang, Shuyan Qie
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Aging Neuroscience
Subjects:
Parkinson’s disease
functional near-infrared spectroscopy
machine learning
diagnostic model
application challenges
Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2024.1354147/full

Internet

https://www.frontiersin.org/articles/10.3389/fnagi.2024.1354147/full

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