A WPSD-Based Feature Extraction Method of EEG Signal for Motor Imagination-Reference-Cited by-同舟云学术

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A WPSD-Based Feature Extraction Method of EEG Signal for Motor Imagination

Published:2023-12-15 Issue: Volume:35 Page:485-489
ISSN:
Container-title:2023 3rd International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI)
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Author:

Shi Jing¹,Wang Qisong²,Liu Dan²,Kim Chungsong²,Zhang Yan³,Liu Xin⁴

Affiliation:

1. School of Economics and Management, Heilongjiang Institute of Technology,Harbin,PR China

2. School of Instrumentation Science and Engineering, Harbin Institute of Technology,Harbin,PR China

3. School of Electrical Engineering and Automation, Harbin Institute of Technology,Harbin,PR China

4. School of Transportation Science and Engineering, Harbin Institute of Technology,Harbin,PR China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10527436/10527786/10527898.pdf?arnumber=10527898

Reference8 articles.

1. An optimized artificial intelligence based technique for identifying motor imagery from EEGs for advanced brain computer interface technology;Taslima;Neural computing & applications,2023

2. Effects of emotional decorative pictures on cognitive load as assessed by pupil dilation and EEG frequency band power

3. EEG Pattern Recognition: An Efficient Improvement Combination of ERD/ERS/Laterality Features to Create a Self-paced BCI System

4. Separable Common Spatio-Spectral Patterns for Motor Imagery BCI Systems

5. Analyzing and identifying oscillatory activities of emotions based on Electroencephalography signals using power spectral density and spatial filtering techniques

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