Multi-tasks Channel Selection Algorithmic Modeling Based on SVM-RFE

Authors

Jiankui Feng, College of Information Science and Engineering, East China University, Shanghai 200237, China;
Jin Jing, College of Information Science and Engineering, East China University, Shanghai 200237, China;
Wang Bei, College of Information Science and Engineering, East China University, Shanghai 200237, China;
Yugang Niu, College of Information Science and Engineering, East China University, Shanghai 200237, China;
Xingyu Wang, College of Information Science and Engineering, East China University, Shanghai 200237, China;

Abstract

Abstract: Channel selection is used to locate the mental task related brain area in the brain computer interface systems. In the previous studies, the channels were selected based on the data recoded from the multi-mental tasks. However, the different mental tasks are corresponding to the different brain area. If one same brain area is selected for different mental tasks, the features of one mental task would be noises of another mental task. In this paper, a new method was presented to solve this problem based on the data of motor imagery tasks. The SVM-RFE method was used to select the channels for each motor imagery task based on recall rate. The result showed that the proposed channel selection method was superior to the traditional method in classification accuracy.

Recommended Citation

Feng, Jiankui; Jing, Jin; Bei, Wang; Niu, Yugang; and Wang, Xingyu (2019) "Multi-tasks Channel Selection Algorithmic Modeling Based on SVM-RFE," Journal of System Simulation: Vol. 30: Iss. 12, Article 2.
DOI: 10.16182/j.issn1004731x.joss.201812002
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss12/2

First Page

4506

Revised Date

2018-10-26

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201812002

Last Page

4512

CLC

TP273

Recommended Citation

Feng Jiankui, Jin Jing, Wang Bei, Niu Yugang, Wang Xingyu. Multi-tasks Channel Selection Algorithmic Modeling Based on SVM-RFE[J]. Journal of System Simulation, 2018, 30(12): 4506-4512.

Corresponding Author

Jin Jing,

DOI

10.16182/j.issn1004731x.joss.201812002