Multi-Task EEG Signal Classification Using Correlation-Based IMF Selection and Multi-Class CSP-Reference-Cited by-同舟云学术

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Multi-Task EEG Signal Classification Using Correlation-Based IMF Selection and Multi-Class CSP

Published:2023 Issue: Volume:11 Page:52712-52725
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Alizadeh N.¹,Afrakhteh S.¹,Mosavi M. R.¹^ORCID

Affiliation:

1. Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10121682.pdf?arnumber=10121682

Reference49 articles.

1. Regularized common spatial patterns with subject-to-subject transfer of EEG signals

2. An improved common spatial pattern combined with channel-selection strategy for electroencephalography-based emotion recognition

3. Filter Bank Common Spatial Pattern (FBCSP) in Brain-Computer Interface

4. Selective Feature Generation Method Based on Time Domain Parameters and Correlation Coefficients for Filter-Bank-CSP BCI Systems

5. Optimal spatial filtering of single trial EEG during imagined hand movement

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1. EEG-VTTCNet: A loss joint training model based on the vision transformer and the temporal convolution network for EEG-based motor imagery classification;Neuroscience;2024-09

2. An improved empirical mode decomposition method with ensemble classifiers for analysis of multichannel EEG in BCI emotion recognition;Computer Methods in Biomechanics and Biomedical Engineering;2024-06-26

3. EEG-Based Brain Disease Classification: A Proposed Model Using CNN-RNN Ensemble Process;2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO);2024-03-14

4. SCSP-3: A Spectrally Augmented Common Spatial Pattern Approach for Robust Motor Imagery-Based Brain–Computer Interface;IEEE Sensors Journal;2024-03-01

5. Adaptive filter of frequency bands based coordinate attention network for EEG-based motor imagery classification;Health Information Science and Systems;2024-02-23

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