An independent brain-computer interface based on covert shifts of non-spatial visual attention.

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An independent brain-computer interface based on covert shifts of non-spatial visual attention. / Zhang, Dan; Gao, Xiaorong; Gao, Shangkai; Engel, Andreas K.; Maye, Alexander.

In: Conf Proc IEEE Eng Med Biol Soc, Vol. 1, 2009, p. 539-542.

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@article{78ed101353d34043a7e2471c42512e4a,
title = "An independent brain-computer interface based on covert shifts of non-spatial visual attention.",
abstract = "Modulation of steady-state visual evoked potential (SSVEP) by directing gaze to targets flickering at different frequencies has been utilized in many brain-computer interface (BCI) studies. However, this paradigm may not work with patients suffering from complete locked-in syndrome or other severe motor disabilities that do not allow conscious control of gaze direction. In this paper, we present a novel, independent BCI paradigm based on covert shift of non-spatial visual selective attention. Subjects viewed a display consisting of two spatially overlapping sets of randomly positioned dots. The two dot sets differed in color, motion and flickering frequency. Two types of motion, rotation and linear motion, were investigated. Both, the SSVEP amplitude and phase response were modulated by selectively attending to one of the two dot sets. Offline analysis revealed a predicted online classification accuracy of 69.3+/-10.2% for the rotating dots, and 80.7+/-10.4% for the linearly moving dots.",
author = "Dan Zhang and Xiaorong Gao and Shangkai Gao and Engel, {Andreas K.} and Alexander Maye",
year = "2009",
language = "Deutsch",
volume = "1",
pages = "539--542",

}

RIS

TY - JOUR

T1 - An independent brain-computer interface based on covert shifts of non-spatial visual attention.

AU - Zhang, Dan

AU - Gao, Xiaorong

AU - Gao, Shangkai

AU - Engel, Andreas K.

AU - Maye, Alexander

PY - 2009

Y1 - 2009

N2 - Modulation of steady-state visual evoked potential (SSVEP) by directing gaze to targets flickering at different frequencies has been utilized in many brain-computer interface (BCI) studies. However, this paradigm may not work with patients suffering from complete locked-in syndrome or other severe motor disabilities that do not allow conscious control of gaze direction. In this paper, we present a novel, independent BCI paradigm based on covert shift of non-spatial visual selective attention. Subjects viewed a display consisting of two spatially overlapping sets of randomly positioned dots. The two dot sets differed in color, motion and flickering frequency. Two types of motion, rotation and linear motion, were investigated. Both, the SSVEP amplitude and phase response were modulated by selectively attending to one of the two dot sets. Offline analysis revealed a predicted online classification accuracy of 69.3+/-10.2% for the rotating dots, and 80.7+/-10.4% for the linearly moving dots.

AB - Modulation of steady-state visual evoked potential (SSVEP) by directing gaze to targets flickering at different frequencies has been utilized in many brain-computer interface (BCI) studies. However, this paradigm may not work with patients suffering from complete locked-in syndrome or other severe motor disabilities that do not allow conscious control of gaze direction. In this paper, we present a novel, independent BCI paradigm based on covert shift of non-spatial visual selective attention. Subjects viewed a display consisting of two spatially overlapping sets of randomly positioned dots. The two dot sets differed in color, motion and flickering frequency. Two types of motion, rotation and linear motion, were investigated. Both, the SSVEP amplitude and phase response were modulated by selectively attending to one of the two dot sets. Offline analysis revealed a predicted online classification accuracy of 69.3+/-10.2% for the rotating dots, and 80.7+/-10.4% for the linearly moving dots.

M3 - SCORING: Zeitschriftenaufsatz

VL - 1

SP - 539

EP - 542

ER -