Comparative analysis of spectral and temporal combinations in CSP-based methods for decoding hand motor imagery tasks.
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| Title: | Comparative analysis of spectral and temporal combinations in CSP-based methods for decoding hand motor imagery tasks. |
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| Authors: | Blanco-Diaz CF; Faculty of Mechanical, Electronic and Biomedical Engineering, Antonio Nariño University, Cra. 3 E No 47A 15, Bogotá, Colombia. Electronic address: cblanco88@uan.edu.co., Antelis JM; Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Av. Eugenio Garza Sada 2501 Sur, Colonia Tecnológico Monterrey, N.L. 64849, México. Electronic address: mauricio.antelis@tec.mx., Ruiz-Olaya AF; Faculty of Mechanical, Electronic and Biomedical Engineering, Antonio Nariño University, Cra. 3 E No 47A 15, Bogotá, Colombia. Electronic address: andresru@uan.edu.co. |
| Source: | Journal of neuroscience methods [J Neurosci Methods] 2022 Apr 01; Vol. 371, pp. 109495. Date of Electronic Publication: 2022 Feb 09. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Language: | English |
| Journal Info: | Publisher: Elsevier/North-Holland Biomedical Press Country of Publication: Netherlands NLM ID: 7905558 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-678X (Electronic) Linking ISSN: 01650270 NLM ISO Abbreviation: J Neurosci Methods Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Amsterdam, Elsevier/North-Holland Biomedical Press. |
| MeSH Terms: | Brain-Computer Interfaces*, Algorithms ; Brain/physiology ; Electroencephalography/methods ; Imagination/physiology ; Signal Processing, Computer-Assisted |
| Abstract: | Background: A widely used paradigm for brain-computer interfaces (BCI) is based on the detection of event-related (des)synchronization (ERD/S) in response to hand motor imagery (MI) tasks. The common spatial pattern (CSP) has been recognized as a powerful algorithm to design spatial filters for ERD/ERS detection. However, a limitation of CSP focus on identification only of discriminative spatial information but not the spectral one. New Method: An open problem remains in literature related to extracting the most discriminative brain patterns in MI-based BCIs using an optimal time segment and spectral information that accounts for intersubject variability. In recent years, different variants of CSP-based methods have been proposed to address the problem of decoding motor imagery tasks under the intersubject variability of frequency bands related to ERD/ERS events, including Filter Bank Common Spatial Patterns (FBCSP) and Filter Bank Common Spatio-Spectral Patterns (FBCSSP). Comparison With Existing Methods: We performed a comparative study of different combinations of time segments and filter banks for three methods (CSP, FBCSP, and FBCSSP) to decode hand (right and left) motor imagery tasks using two different EEG datasets (Gigascience and BCI IVa competition). Results: The best configuration corresponds to a filter bank with 3 filters (8-15 Hz, 15-22 Hz and 22-29 Hz) using a time window of 1.5 s after the trigger, which provide accuracies of approximately 74% and an estimated ITRs of approximately 7 bits/min. Conclusion: Discriminative information in time and spectral domains could be obtained using a convenient filter bank and a time segment configuration, to enhance the classification rate and ITR for detection of hand motor imagery tasks with CSP-related methods, to be used in the implementation of a real-time BCI system. (Copyright © 2022 Elsevier B.V. All rights reserved.) |
| Contributed Indexing: | Keywords: Brain-computer interfaces*; Common spatial patterns*; Event-related (Des) synchronization*; Filter bank*; Motor imagery* |
| Entry Date(s): | Date Created: 20220212 Date Completed: 20220407 Latest Revision: 20220502 |
| Update Code: | 20250114 |
| DOI: | 10.1016/j.jneumeth.2022.109495 |
| PMID: | 35150764 |
| Database: | MEDLINE |
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