Evaluation of Post-Stroke Impairment in Fine Tactile Sensation by Electroencephalography (EEG)-Based Machine Learning

Evaluation of Post-Stroke Impairment in Fine Tactile Sensation by Electroencephalography (EEG)-Based Machine Learning

Electroencephalography (EEG)-based measurements of fine tactile sensation produce large amounts of data, with high costs for manual evaluation. In this study, an EEG-based machine-learning (ML) model with support vector machine (SVM) was established to automatically evaluate post-stroke impairments...

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Bibliographic Details
Main Authors: Jianing Zhang, Yanhuan Huang, Fuqiang Ye, Bibo Yang, Zengyong Li, Xiaoling Hu
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Applied Sciences
Subjects:
stroke
fine tactile sensation
electroencephalography
machine learning
evaluation
Online Access:https://www.mdpi.com/2076-3417/12/9/4796

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https://www.mdpi.com/2076-3417/12/9/4796

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