|Table of Contents|

Application of electroencephalography in assessment of motor function in stroke patients: a review(PDF)

《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

Issue:
2023年第10期
Page:
1309-1315
Research Field:
脑科学与神经物理
Publishing date:

Info

Title:
Application of electroencephalography in assessment of motor function in stroke patients: a review
Author(s):
WANG Chong1 ZHOU Jing2 LI Wenhao3 CHEN Hucheng1 CHEN Zebin1 DENG Zeya4 CHEN Mingxiang5 WU Kai6 7 8
1. School of Mechatronic Engineering and Automation, Foshan University, Foshan 528200, China 2. School of Materials Science and Engineering, South China University of Technology, Guangzhou 510006, China 3. School of Automation Science and Engineering, South China University of Technology, Guangzhou 510006, China 4. Brain Power System Co., Ltd, Guangzhou 510535, China 5. Hu Yun Hospital Management Co., Ltd, Guangzhou 510030, China 6. School of Biomedical Science and Engineering, South China University of Technology, Guangzhou 511442, China 7. Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou 510370, China 8. Guangdong Engineering Technology Research Center for Diagnosis and Rehabilitation of Dementia, Guangzhou 510500, China
Keywords:
Keywords: electroencephalogram stroke motor function assessment review
PACS:
R318;R743.3
DOI:
DOI:10.3969/j.issn.1005-202X.2023.10.020
Abstract:
Abstract: Electroencephalogram (EEG), as a non-invasive and low-cost means to detect cerebral cortical nerve potential, can reflect the neural activities of the brain, and is currently widely used in the assessment of motor function in stroke patients. The analysis on motor function and neural mechanism of stroke patients through EEG signals is helpful to understand the related neural and rehabilitation mechanisms, and to realize the individualized predictions of injury severity and rehabilitation outcome. The study outlines the EEG signal analysis process and methods, and summarizes the research advances in the application of EEG in the assessment of motor function in stroke patients from the aspects of cortical oscillatory activity, quantitative EEG, and functional brain connectivity. The advantages of EEG technology, the evaluation of rehabilitation outcome, and clinical assistant decision-making are also discussed. Finally, an outlook on the future development is provided.

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Last Update: 2023-10-27