A High-Performance Classification Method Based on CNN for Interventional EEG Data-Reference-Cited by-同舟云学术

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A High-Performance Classification Method Based on CNN for Interventional EEG Data

Published:2024-05-07 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 7th International Symposium on Autonomous Systems (ISAS)
language:
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Author:

Li Sining¹,Liu Gan¹,Feng Fan²,Wu Dongdong³,Ma Yudong⁴,Duan Feng¹

Affiliation:

1. Nankai University,Tianjin Key Laboratory of Interventional Brain-Computer Interface and Intelligent Rehabilitation,Tianjin,China

2. Tsinghua University,Department of Biomedical Engineering School of Medicine,Beijing,China

3. General Hospital of the People’s Liberation Army,Department of Neurosurgery,Beijing,China

4. Air Force Medical University,Department of Neurosurgery,Beijing,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10552442/10552389/10552482.pdf?arnumber=10552482

Reference26 articles.

1. World Stroke Organization (WSO): Global Stroke Fact Sheet 2022

2. Stroke Disability and Rehabilitation of Stroke: World Health Organization Perspective

3. Exploring the Use of Brain-Computer Interfaces in Stroke Neurorehabilitation

4. Classification of EEG Signals on VEP-Based BCI Systems With Broad Learning

5. Incorporating EEG and fNIRS Patterns to Evaluate Cortical Excitability and MI-BCI Performance During Motor Training

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