An Efficient Framework for EEG Analysis with Application to Hybrid Brain Computer Interfaces Based on Motor Imagery and P300
Joint Authors
Long, Jinyi
Wang, Jue
Yu, Tianyou
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-19
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
The hybrid brain computer interface (BCI) based on motor imagery (MI) and P300 has been a preferred strategy aiming to improve the detection performance through combining the features of each.
However, current methods used for combining these two modalities optimize them separately, which does not result in optimal performance.
Here, we present an efficient framework to optimize them together by concatenating the features of MI and P300 in a block diagonal form.
Then a linear classifier under a dual spectral norm regularizer is applied to the combined features.
Under this framework, the hybrid features of MI and P300 can be learned, selected, and combined together directly.
Experimental results on the data set of hybrid BCI based on MI and P300 are provided to illustrate competitive performance of the proposed method against other conventional methods.
This provides an evidence that the method used here contributes to the discrimination performance of the brain state in hybrid BCI.
American Psychological Association (APA)
Long, Jinyi& Wang, Jue& Yu, Tianyou. 2017. An Efficient Framework for EEG Analysis with Application to Hybrid Brain Computer Interfaces Based on Motor Imagery and P300. Computational Intelligence and Neuroscience،Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1141295
Modern Language Association (MLA)
Long, Jinyi…[et al.]. An Efficient Framework for EEG Analysis with Application to Hybrid Brain Computer Interfaces Based on Motor Imagery and P300. Computational Intelligence and Neuroscience No. 2017 (2017), pp.1-6.
https://search.emarefa.net/detail/BIM-1141295
American Medical Association (AMA)
Long, Jinyi& Wang, Jue& Yu, Tianyou. An Efficient Framework for EEG Analysis with Application to Hybrid Brain Computer Interfaces Based on Motor Imagery and P300. Computational Intelligence and Neuroscience. 2017. Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1141295
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1141295