Optimizing a left and right visual field biphasic stimulation paradigm for SSVEP-based BCIs with hairless region behind the ear

Liyan Liang; Guangyu Bin; Xiaogang Chen; Yijun Wang; Shangkai Gao; Xiaorong Gao

doi:10.1088/1741-2552/ac40a1

Optimizing a left and right visual field biphasic stimulation paradigm for SSVEP-based BCIs with hairless region behind the ear

J Neural Eng. 2021 Dec 28;18(6). doi: 10.1088/1741-2552/ac40a1.

Authors

Liyan Liang¹, Guangyu Bin², Xiaogang Chen³, Yijun Wang⁴, Shangkai Gao¹, Xiaorong Gao¹

Affiliations

¹ Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, People's Republic of China.
² Department of Biomedical Engineering, Beijing University of Technology, Beijing 100124, People's Republic of China.
³ Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300192, People's Republic of China.
⁴ State Key Laboratory on Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, People's Republic of China.

PMID: 34875637
DOI: 10.1088/1741-2552/ac40a1

Abstract

Objective.Steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI) has the characteristics of fast communication speed, high stability, and wide applicability, thus it has been widely studied. With the rapid development in paradigm, algorithm, and system design, SSVEP-BCI is gradually applied in clinical and real-life scenarios. In order to improve the ease of use of the SSVEP-BCI system, many studies have been focusing on developing it on the hairless area, but due to the lack of redesigning the stimulation paradigm to better adapt to the new area, the electroencephalography response in the hairless area is worse than occipital region.Approach. This study first proposed a phase difference estimation method based on stimulating the left and right visual field separately, then developed and optimized a left and right visual field biphasic stimulation paradigm for SSVEP-based BCIs with hairless region behind the ear.Main results.In the 12-target online experiment, after a short model estimation training, all 16 subjects used their best stimulus condition. The paradigm designed in this study can increase the proportion of applicable subjects for the behind-ear SSVEP-BCI system from 58.3% to 75% and increase the accuracy from 74.6 ± 20.0% (the existing best SSVEP stimulus with hairless region behind the ear) to 84.2±14.7%, and the information transfer rate from 14.2±6.4 bits min^-1to 17.8±5.7 bits min^-1.Significance.These results demonstrated that the proposed paradigm can effectively improve the BCI performance using the signal from the hairless region behind the ear, compared with the standard SSVEP stimulation paradigm.

Keywords: brain–computer interface; hairless region; optimization method; steady-state visual evoked potentials.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms
Brain-Computer Interfaces*
Electroencephalography
Evoked Potentials, Visual*
Humans
Photic Stimulation
Visual Fields