Simultaneous Decoding of Eccentricity and Direction Information for a Single-Flicker SSVEP BCI

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Simultaneous Decoding of Eccentricity and Direction Information for a Single-Flicker SSVEP BCI. / Chen, Jingjing; Maye, Alexander; Engel, Andreas K; Wang, Yijun; Gao, Xiaorong; Zhang, Dan.

in: ELECTRONICS-SWITZ, Jahrgang 8, Nr. 12, 2019, S. 1554.

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@article{5e6d1af5bfe64d63a3986497d5e565d1,
title = "Simultaneous Decoding of Eccentricity and Direction Information for a Single-Flicker SSVEP BCI",
abstract = "The feasibility of a steady-state visual evoked potential (SSVEP) brain–computer interface (BCI) with a single-flicker stimulus for multiple-target decoding has been demonstrated in a number of recent studies. The single-flicker BCIs have mainly employed the direction information for encoding the targets, i.e., different targets are placed at different spatial directions relative to the flicker stimulus. The present study explored whether visual eccentricity information can also be used to encode targets for the purpose of increasing the number of targets in the single-flicker BCIs. A total number of 16 targets were encoded, placed at eight spatial directions, and two eccentricities (2.5° and 5°) relative to a 12 Hz flicker stimulus. Whereas distinct SSVEP topographies were elicited when participants gazed at targets of different directions, targets of different eccentricities were mainly represented by different signal-to-noise ratios (SNRs). Using a canonical correlation analysis-based classification algorithm, simultaneous decoding of both direction and eccentricity information was achieved, with an offline 16-class accuracy of 66.8 ± 16.4% averaged over 12 participants and a best individual accuracy of 90.0%. Our results demonstrate a single-flicker BCI with a substantially increased target number towards practical applications.",
author = "Jingjing Chen and Alexander Maye and Engel, {Andreas K} and Yijun Wang and Xiaorong Gao and Dan Zhang",
year = "2019",
doi = "10.3390/electronics8121554",
language = "English",
volume = "8",
pages = "1554",
journal = "ELECTRONICS-SWITZ",
issn = "2079-9292",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "12",

}

RIS

TY - JOUR

T1 - Simultaneous Decoding of Eccentricity and Direction Information for a Single-Flicker SSVEP BCI

AU - Chen, Jingjing

AU - Maye, Alexander

AU - Engel, Andreas K

AU - Wang, Yijun

AU - Gao, Xiaorong

AU - Zhang, Dan

PY - 2019

Y1 - 2019

N2 - The feasibility of a steady-state visual evoked potential (SSVEP) brain–computer interface (BCI) with a single-flicker stimulus for multiple-target decoding has been demonstrated in a number of recent studies. The single-flicker BCIs have mainly employed the direction information for encoding the targets, i.e., different targets are placed at different spatial directions relative to the flicker stimulus. The present study explored whether visual eccentricity information can also be used to encode targets for the purpose of increasing the number of targets in the single-flicker BCIs. A total number of 16 targets were encoded, placed at eight spatial directions, and two eccentricities (2.5° and 5°) relative to a 12 Hz flicker stimulus. Whereas distinct SSVEP topographies were elicited when participants gazed at targets of different directions, targets of different eccentricities were mainly represented by different signal-to-noise ratios (SNRs). Using a canonical correlation analysis-based classification algorithm, simultaneous decoding of both direction and eccentricity information was achieved, with an offline 16-class accuracy of 66.8 ± 16.4% averaged over 12 participants and a best individual accuracy of 90.0%. Our results demonstrate a single-flicker BCI with a substantially increased target number towards practical applications.

AB - The feasibility of a steady-state visual evoked potential (SSVEP) brain–computer interface (BCI) with a single-flicker stimulus for multiple-target decoding has been demonstrated in a number of recent studies. The single-flicker BCIs have mainly employed the direction information for encoding the targets, i.e., different targets are placed at different spatial directions relative to the flicker stimulus. The present study explored whether visual eccentricity information can also be used to encode targets for the purpose of increasing the number of targets in the single-flicker BCIs. A total number of 16 targets were encoded, placed at eight spatial directions, and two eccentricities (2.5° and 5°) relative to a 12 Hz flicker stimulus. Whereas distinct SSVEP topographies were elicited when participants gazed at targets of different directions, targets of different eccentricities were mainly represented by different signal-to-noise ratios (SNRs). Using a canonical correlation analysis-based classification algorithm, simultaneous decoding of both direction and eccentricity information was achieved, with an offline 16-class accuracy of 66.8 ± 16.4% averaged over 12 participants and a best individual accuracy of 90.0%. Our results demonstrate a single-flicker BCI with a substantially increased target number towards practical applications.

UR - https://www.mdpi.com/2079-9292/8/12/1554

U2 - 10.3390/electronics8121554

DO - 10.3390/electronics8121554

M3 - SCORING: Journal article

VL - 8

SP - 1554

JO - ELECTRONICS-SWITZ

JF - ELECTRONICS-SWITZ

SN - 2079-9292

IS - 12

ER -