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Brain-Computer Interface ResearchA Sixteen-Command and 40 Hz Carrier Frequency Code-Modulated Visual Evoked Potential BCI

Brain-Computer Interface Research: A Sixteen-Command and 40 Hz Carrier Frequency Code-Modulated... [We present successful results, based on testing with nine healthy users, demonstrating an innovative brain-computer interface (BCI) paradigm. The new paradigm utilizes a code- modulated visual evoked potential (cVEP), with a relatively high carrier frequency of 40 Hz (which is about the threshold that human vision can detect) using pseudo-random pattern flashing stimuli. These visual stimuli are very perceptually friendly and, due to their wide frequency spectral patterns, not prone to triggering epileptic seizures. To generate higher frequency stimulation than state-of-the-art steady-state visual evoked potential (SSVEP) or cVEP-based BCIs, we utilize the light-emitting diodes (LEDs) driven from an ARDUINO DUE board with a software generator designed by our team.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Brain-Computer Interface ResearchA Sixteen-Command and 40 Hz Carrier Frequency Code-Modulated Visual Evoked Potential BCI

Editors: Guger, Christoph; Allison, Brendan; Lebedev, Mikhail

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Publisher
Springer International Publishing
Copyright
© The Author(s) 2017
ISBN
978-3-319-64372-4
Pages
97 –104
DOI
10.1007/978-3-319-64373-1_10
Publisher site
See Chapter on Publisher Site

Abstract

[We present successful results, based on testing with nine healthy users, demonstrating an innovative brain-computer interface (BCI) paradigm. The new paradigm utilizes a code- modulated visual evoked potential (cVEP), with a relatively high carrier frequency of 40 Hz (which is about the threshold that human vision can detect) using pseudo-random pattern flashing stimuli. These visual stimuli are very perceptually friendly and, due to their wide frequency spectral patterns, not prone to triggering epileptic seizures. To generate higher frequency stimulation than state-of-the-art steady-state visual evoked potential (SSVEP) or cVEP-based BCIs, we utilize the light-emitting diodes (LEDs) driven from an ARDUINO DUE board with a software generator designed by our team.]

Published: Aug 22, 2017

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