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Enhanced Motor Imagery-Based Eeg Classification Using A Discriminative Graph Fourier Subspace

Miri, Maliheh ; Abootalebi, Vahid and Behjat, Hamid LU (2022) 19th IEEE International Symposium on Biomedical Imaging, ISBI 2022 In Proceedings - International Symposium on Biomedical Imaging 2022-March.
Abstract

Dealing with irregular domains, graph signal processing (GSP) has attracted much attention especially in brain imaging analysis. Motor imagery tasks are extensively utilized in brain-computer interface (BCI) systems that perform classification using features extracted from Electroencephalogram signals. In this paper, a GSP-based approach is presented for two-class motor imagery tasks classification. The proposed method exploits simultaneous diagonalization of two matrices that quantify the covariance structure of graph spectral representation of data from each class, providing a discriminative subspace where distinctive features are extracted from the data. The performance of the proposed method was evaluated on Dataset IVa from BCI... (More)

Dealing with irregular domains, graph signal processing (GSP) has attracted much attention especially in brain imaging analysis. Motor imagery tasks are extensively utilized in brain-computer interface (BCI) systems that perform classification using features extracted from Electroencephalogram signals. In this paper, a GSP-based approach is presented for two-class motor imagery tasks classification. The proposed method exploits simultaneous diagonalization of two matrices that quantify the covariance structure of graph spectral representation of data from each class, providing a discriminative subspace where distinctive features are extracted from the data. The performance of the proposed method was evaluated on Dataset IVa from BCI Competition III. Experimental results show that the proposed method outperforms two state-of-the-art alternative methods.

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Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
classification, EEG, graph signal processing, simultaneous diagonalization
host publication
ISBI 2022 - Proceedings : 2022 IEEE International Symposium on Biomedical Imaging - 2022 IEEE International Symposium on Biomedical Imaging
series title
Proceedings - International Symposium on Biomedical Imaging
volume
2022-March
article number
21760580
publisher
IEEE Computer Society
conference name
19th IEEE International Symposium on Biomedical Imaging, ISBI 2022
conference location
Kolkata, India
conference dates
2022-03-28 - 2022-03-31
external identifiers
  • scopus:85129590716
ISSN
1945-7928
1945-8452
ISBN
978-1-6654-2924-5
978-1-6654-2923-8
DOI
10.1109/ISBI52829.2022.9761611
language
English
LU publication?
yes
id
6f2f7993-f7ab-4e3f-a041-d286bad681a4
date added to LUP
2022-07-08 10:20:38
date last changed
2024-04-18 11:30:44
@inproceedings{6f2f7993-f7ab-4e3f-a041-d286bad681a4,
  abstract     = {{<p>Dealing with irregular domains, graph signal processing (GSP) has attracted much attention especially in brain imaging analysis. Motor imagery tasks are extensively utilized in brain-computer interface (BCI) systems that perform classification using features extracted from Electroencephalogram signals. In this paper, a GSP-based approach is presented for two-class motor imagery tasks classification. The proposed method exploits simultaneous diagonalization of two matrices that quantify the covariance structure of graph spectral representation of data from each class, providing a discriminative subspace where distinctive features are extracted from the data. The performance of the proposed method was evaluated on Dataset IVa from BCI Competition III. Experimental results show that the proposed method outperforms two state-of-the-art alternative methods.</p>}},
  author       = {{Miri, Maliheh and Abootalebi, Vahid and Behjat, Hamid}},
  booktitle    = {{ISBI 2022 - Proceedings : 2022 IEEE International Symposium on Biomedical Imaging}},
  isbn         = {{978-1-6654-2924-5}},
  issn         = {{1945-7928}},
  keywords     = {{classification; EEG; graph signal processing; simultaneous diagonalization}},
  language     = {{eng}},
  publisher    = {{IEEE Computer Society}},
  series       = {{Proceedings - International Symposium on Biomedical Imaging}},
  title        = {{Enhanced Motor Imagery-Based Eeg Classification Using A Discriminative Graph Fourier Subspace}},
  url          = {{http://dx.doi.org/10.1109/ISBI52829.2022.9761611}},
  doi          = {{10.1109/ISBI52829.2022.9761611}},
  volume       = {{2022-March}},
  year         = {{2022}},
}