Publication / RCBTR
Published Date: 2019/03/14
Published By: Amir Homayoun Jafari, PhD
Published At: PLOS ONE
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Published URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0213197

Shirzhiyan, Zahra, Ahmadreza Keihani, Morteza Farahi, Elham Shamsi, Mina GolMohammadi, Amin Mahnam, Mohsen Reza Haidari, and Amir Homayoun Jafari

Code modulated Visual Evoked Potentials (c-VEP) based BCI studies usually employ msequences as a modulating codes for their broadband spectrum and correlation property. However, subjective fatigue of the presented codes has been a problem. In this study, we introduce chaotic codes containing broadband spectrum and similar correlation property. We examined whether the introduced chaotic codes could be decoded from EEG signals and also compared the subjective fatigue level with m-sequence codes in normal subjects. We generated chaotic code from one-dimensional logistic map and used it with conventional 31-bit m-sequence code. In a c-VEP based study in normal subjects (n= 44, 21 females) we presented these codes visually and recorded EEG signals from the corresponding codes for their four lagged versions. Canonical correlation analysis (CCA) and spatiotemporal beamforming (STB) methods were used for target identification and comparison of responses. Additionally, we compared the subjective self-declared fatigue using VAS caused by presented m-sequence and chaotic codes. The introduced chaotic code was decoded from EEG responses with CCA and STB methods. The maximum total accuracy values of 93.6±11.9% and 94±14.4% were achieved with STB method for chaotic and m-sequence codes for all subjects respectively. The achieved accuracies in all subjects were not significantly different in m-sequence and chaotic codes. There was significant reduction in subjective fatigue caused by chaotic codes compared to the m-sequence codes.