An ECoG-Based Binary Classification of BCI Using Optimized Extreme Learning Machine
Joint Authors
Xiong, Qi
Zhang, Xinman
Dai, Yixuan
Xu, Xuebin
Song, Guokun
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-30
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
In order to improve the accuracy of brain signal processing and accelerate speed meanwhile, we present an optimal and intelligent method for large dataset classification application in this paper.
Optimized Extreme Learning Machine (OELM) is introduced in ElectroCorticoGram (ECoG) feature classification of motor imaginary-based brain-computer interface (BCI) system, with common spatial pattern (CSP) to extract the feature.
When comparing it with other conventional classification methods like SVM and ELM, we exploit several metrics to evaluate the performance of all the adopted methods objectively.
The accuracy of the proposed BCI system approaches approximately 92.31% when classifying ECoG epochs into left pinky or tongue movement, while the highest accuracy obtained by other methods is no more than 81%, which substantiates that OELM is more efficient than SVM, ELM, etc.
Moreover, the simulation results also demonstrate that OELM will significantly improve the performance with p value being far less than 0.001.
Hence, the proposed OELM is satisfactory in addressing ECoG signal.
American Psychological Association (APA)
Zhang, Xinman& Xiong, Qi& Dai, Yixuan& Xu, Xuebin& Song, Guokun. 2020. An ECoG-Based Binary Classification of BCI Using Optimized Extreme Learning Machine. Complexity،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1140036
Modern Language Association (MLA)
Zhang, Xinman…[et al.]. An ECoG-Based Binary Classification of BCI Using Optimized Extreme Learning Machine. Complexity No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1140036
American Medical Association (AMA)
Zhang, Xinman& Xiong, Qi& Dai, Yixuan& Xu, Xuebin& Song, Guokun. An ECoG-Based Binary Classification of BCI Using Optimized Extreme Learning Machine. Complexity. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1140036
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1140036