Open AccessElectrode channel optimisation method for steady‐state visual evoked potentials
Author(s) -
Ma Kang,
Wang Shuai,
Zhang Shuailei,
Sun Ying,
Zheng DeZhi
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.9071
Subject(s) - brain–computer interface , visual evoked potentials , computer science , channel (broadcasting) , electrode , interface (matter) , electroencephalography , artificial intelligence , speech recognition , pattern recognition (psychology) , neuroscience , psychology , chemistry , telecommunications , bubble , maximum bubble pressure method , parallel computing
This article proposes an electrode channel combination method for optimisation steady‐state visual evoked potentials (SSVEPs) towards a high‐performance brain‐computer interface (BCI). In SSVEP‐based BCIs, the channels which lie in the area near the occipital and parietal lobes are always selected to improve the classification accuracy. Although the electrode channels which are selected in occipital and parietal lobes have significantly improved the accuracy and reduced the calculating time of algorithm, the effect of electrode channel combination for each subject have not been systematically explored. This study conducts a comparison of BCI performance between two subjects in different electrode channel combinations. The results show significant difference between two subjects when selecting different electrode channel combinations using unsupervised target identification methods. The results suggest that different electrode channels should be selected for different subjects in SSVEP‐based BCIs.