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Implementing Over 100 Command Codes for a High-Speed Hybrid Brain-Computer Interface Using Concurrent P300 and SSVEP Features

2020-11-19

Author(s): Xu, MP (Xu, Minpeng); Han, J (Han, Jin); Wang, YJ (Wang, Yijun); Jung, TP (Jung, Tzyy-Ping); Ming, D (Ming, Dong)

Source: IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING Volume: 67 Issue: 11 Pages: 3073-3082 DOI: 10.1109/TBME.2020.2975614 Published: NOV 2020

Abstract: Objective: Recently, electroencephalography (EEG)- based brain-computer interfaces (BCIs) have made tremendous progress in increasing communication speed. However, current BCI systems could only implement a small number of command codes, which hampers their applicability. Methods: This study developed a high-speed hybrid BCI system containing as many as 108 instructions, which were encoded by concurrent P300 and steadystate visual evoked potential (SSVEP) features and decoded by an ensemble task-related component analysis method. Notably, besides the frequency-phase-modulated SSVEP and time-modulated P300 features as contained in the traditional hybrid P300 and SSVEP features, this study found two new distinct EEG features for the concurrent P300 and SSVEP features, i.e., time-modulated SSVEP and frequency-phase- modulated P300. Ten subjects spelled in both offline and online cued-guided spelling experiments. Other ten subjects took part in online copy-spelling experiments. Results: Offline analyses demonstrate that the concurrent P300 and SSVEP features can provide adequate classification information to correctly select the target from 108 characters in 1.7 seconds. Online cued-guided spelling and copy-spelling tests further show that the proposed BCI system can reach an average information transfer rate (ITR) of 172.46 +/- 32.91 bits/min and 164.69 +/- 33.32 bits/min respectively, with a peak value of 238.41 bits/min (The demo video of online copy-spelling can be found at https:// www.youtube.com/watch?v=EW2Q08oHSBo). Conclusion: We expand a BCI instruction set to over 100 command codes with high-speed in an efficient manner, which significantly improves the degree of freedom of BCIs. Significance: This study hold promise for broadening the applications of BCI systems.

Accession Number: WOS:000583492300007

PubMed ID: 32149621

Author Identifiers:

Author        Web of Science ResearcherID        ORCID Number

Jung, Tzyy-Ping                  0000-0002-8377-2166

Han, Jin                  0000-0002-6912-1738

ISSN: 0018-9294

eISSN: 1558-2531

Full Text: https://ieeexplore.ieee.org/document/9023382



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