The applied principles of EEG analysis methods in neuroscience and clinical neurology

Hao Zhang; Qing-Qi Zhou; He Chen; Xiao-Qing Hu; Wei-Guang Li; Yang Bai; Jun-Xia Han; Yao Wang; Zhen-Hu Liang; Dan Chen; Feng-Yu Cong; Jia-Qing Yan; Xiao-Li Li

doi:10.1186/s40779-023-00502-7

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The applied principles of EEG analysis methods in neuroscience and clinical neurology

REVIEW | Updated：2025-12-13

- The applied principles of EEG analysis methods in neuroscience and clinical neurology
- The applied principles of EEG analysis methods in neuroscience and clinical neurology
- “脑电图（EEG）是一种非侵入性的脑活动测量方法，由于其安全性、高分辨率和对脑神经信号动态变化的敏感性，在科学研究和医学领域引起了极大的兴趣。本文综述了脑电信号的类型、多种脑电信号分析方法及其在神经科学和神经疾病诊断中的应用。它介绍了三种类型的脑电信号，并描述了脑电分析方法的五个主要方向，以及解决同一问题的不同子方法和效果评估。本文强调了不同脑电分析方法的应用场景，区分了类似方法的优缺点，帮助研究人员根据研究目标选择合适的脑电分析法，为后续研究提供参考。”
- MMR 2024年11卷第6期页码：907-941
- Affiliations：
  
  1.School of Systems Science, Beijing Normal University, Beijing 100875, China
  2.College of Electrical and Control Engineering, North China University of Technology, Beijing 100041, China
  3.School of Automation Science and Engineering, South China University of Technology, Guangzhou 510641, China
  4.Department of Psychology, the State Key Laboratory of Brain and Cognitive Sciences, the University of Hong Kong, Hong Kong SAR 999077, China
  5.HKU-Shenzhen Institute of Research and Innovation, Shenzhen 518057, Guangdong, China
  6.Department of Health Technology and Informatics, the Hong Kong Polytechnic University, Hong Kong SAR 999077, China
  7.Department of Rehabilitation Medicine, the First Afliated Hospital of Nanchang University, Nanchang 330006, China
  8.Rehabilitation Medicine Clinical Research Center of Jiangxi Province, Nanchang 330006, China
  9.Beijing Key Laboratory of Learning and Cognition, School of Psychology, Capital Normal University, Beijing 100048, China
  10.School of Communication Science, Beijing Language and Culture University, Beijing 100083, China
  11.Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, Hebei, China
  12.School of Computer Science, Wuhan University, Wuhan 430072, China
  13.School of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116081, Liaoning, China
  14.Guangdong Artifcial Intelligence and Digital Economy Laboratory (Guangzhou), Guangzhou 510335, China
- Author bio：
  
  *zhl@ysu.edu.cn;
  dan.chen@whu.edu.cn;
  cong@dlut.edu.cn;
  redyjq@gmail.com;
  xiaolili@scut.edu.cn
- Funds：
  
  the STI2030 Major Projects(2021ZD0204300);the National Natural Science Foundation of China(61803003;62003228)
- DOI：10.1186/s40779-023-00502-7
  中图分类号：
- 纸质出版：2024-12
- Accepted：
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The applied principles of EEG analysis methods in neuroscience and clinical neurology[J]. MMR, 2024,11(6):907-941.

Cite this article as: Zhang H, Zhou QQ, Chen H, Hu XQ, Li WG, Bai Y, et al. The applied principles of EEG analysis methods in neuroscience and clinical neurology. Mil Med Res. 2023;10(1):67.
The applied principles of EEG analysis methods in neuroscience and clinical neurology[J]. MMR, 2024,11(6):907-941. DOI： 10.1186/s40779-023-00502-7.

Cite this article as: Zhang H, Zhou QQ, Chen H, Hu XQ, Li WG, Bai Y, et al. The applied principles of EEG analysis methods in neuroscience and clinical neurology. Mil Med Res. 2023;10(1):67. DOI： 10.1186/s40779-023-00502-7.

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The applied principles of EEG analysis methods in neuroscience and clinical neurology

The applied principles of EEG analysis methods in neuroscience and clinical neurology

DOI：10.1186/s40779-023-00502-7