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A COMPARATIVE STUDY OF FEATURES AND CLASSIFIERS IN SINGLE-CHANNEL EEG-BASED MOTOR IMAGERY BCI

Abstract: 

This paper determined the best combination that maximizes the classification accuracy of single-channel electroencephalogram (EEG)-based motor imagery brain–computer interfaces (BCIs). BCIs allow people including completely locked-in patients to communicate with others without actual movements of body. Whereas EEGs are usually observed by multiple electrodes, single-channel measurement has been recently studied for gaining the simplicity of use. However, existing single-channel BCI studies have evaluated the performance on their own, private datasets that are not accessible from other researchers. Therefore, it remains a practical challenge to determine the optimal combination of channel, feature, and classifier using a public dataset. For the assessment, we used an open-access database (BCI competition IV dataset 2a) and a 10-fold cross-validation procedure. We found that support vector machine or multilayer perceptron with power spectrum or single-channel common spectral patterns of C3 or C4 position showed high classification accuracies in all subjects (mean: 63.5±0.4%, maximum: 86.6±0.4%).

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Paper Details

Authors:
Suguru Kanoga, Atsunori Kanemura, Hideki Asoh
Submitted On:
27 March 2019 - 9:05am
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Suguru Kanoga
Paper Code:
GLOBALSIP18001
Document Year:
2018
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A COMPARATIVE STUDY OF FEATURES AND CLASSIFIERS IN SINGLE-CHANNEL EEG-BASED MOTOR IMAGERY BCI.pdf

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[1] Suguru Kanoga, Atsunori Kanemura, Hideki Asoh, "A COMPARATIVE STUDY OF FEATURES AND CLASSIFIERS IN SINGLE-CHANNEL EEG-BASED MOTOR IMAGERY BCI", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3689. Accessed: Dec. 10, 2019.
@article{3689-18,
url = {http://sigport.org/3689},
author = {Suguru Kanoga; Atsunori Kanemura; Hideki Asoh },
publisher = {IEEE SigPort},
title = {A COMPARATIVE STUDY OF FEATURES AND CLASSIFIERS IN SINGLE-CHANNEL EEG-BASED MOTOR IMAGERY BCI},
year = {2018} }
TY - EJOUR
T1 - A COMPARATIVE STUDY OF FEATURES AND CLASSIFIERS IN SINGLE-CHANNEL EEG-BASED MOTOR IMAGERY BCI
AU - Suguru Kanoga; Atsunori Kanemura; Hideki Asoh
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3689
ER -
Suguru Kanoga, Atsunori Kanemura, Hideki Asoh. (2018). A COMPARATIVE STUDY OF FEATURES AND CLASSIFIERS IN SINGLE-CHANNEL EEG-BASED MOTOR IMAGERY BCI. IEEE SigPort. http://sigport.org/3689
Suguru Kanoga, Atsunori Kanemura, Hideki Asoh, 2018. A COMPARATIVE STUDY OF FEATURES AND CLASSIFIERS IN SINGLE-CHANNEL EEG-BASED MOTOR IMAGERY BCI. Available at: http://sigport.org/3689.
Suguru Kanoga, Atsunori Kanemura, Hideki Asoh. (2018). "A COMPARATIVE STUDY OF FEATURES AND CLASSIFIERS IN SINGLE-CHANNEL EEG-BASED MOTOR IMAGERY BCI." Web.
1. Suguru Kanoga, Atsunori Kanemura, Hideki Asoh. A COMPARATIVE STUDY OF FEATURES AND CLASSIFIERS IN SINGLE-CHANNEL EEG-BASED MOTOR IMAGERY BCI [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3689