Book ChapterDOI
Analysis of Multichannel SSVEP for Different Stimulus Frequencies.
V. Sankardoss,P. Geethanjali +1 more
- pp 597-606
TLDR
In this article, the average power and average energy from white/black square stimuli of different channels help in frequency selection of visual stimuli at different channels, and signals with high energy may be effective in BCI.Abstract:
Steady-state visual evoked potential (SSVEP)-based methods are gaining popularity in different fields like cognition and brain–computer interface (BCI) studies. The SSVEP is used in BCI due to less training time, more accuracy, and high information transfer rate. The properties of SSVEP depend on factors like shape, size, frequency, and color of the stimuli. In this work, the white/black square stimuli are studied from Oz, O1, O2, Pz, P1, and P2 channels to analyze the power and energy at four different frequencies. The Psychophysics Toolbox in MATLAB is used to design the stimuli. The average power and average energy from white/black square stimuli of different channels help in frequency selection of visual stimuli at different channels. Further, signals with high energy may be effective in BCI.read more
Citations
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Journal ArticleDOI
Algorithmic support of the interface of management of robot-human with the steady state visual evoked potentials based on the multivariate synchronization index
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Proceedings ArticleDOI
The application of EEG mental fatigue measurement based on Hilbert-Huang marginal spectrum
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References
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Book
Human Brain Electrophysiology: Evoked Potentials and Evoked Magnetic Fields in Science and Medicine
TL;DR: In this article, the authors propose an approach to explore the potential of PE in the context of neurophysiologie and psychophysics, and propose a set of criteria for evaluating the applicability of PE.
Journal ArticleDOI
Human EEG responses to 1-100 Hz flicker: resonance phenomena in visual cortex and their potential correlation to cognitive phenomena.
TL;DR: An experiment, where ten human subjects were presented flickering light at frequencies from 1 to 100 Hz in 1-Hz steps, and the event-related potentials exhibited steady-state oscillations at all frequencies up to at least 90 Hz, which could be a potential neural basis for gamma oscillations in binding experiments.
Journal ArticleDOI
A survey of signal processing algorithms in brain-computer interfaces based on electrical brain signals.
TL;DR: This work presents the first such comprehensive survey of all BCI designs using electrical signal recordings published prior to January 2006, and asks what are the key signal processing components of a BCI, and what signal processing algorithms have been used in BCIs.
Journal ArticleDOI
Frequency Recognition Based on Canonical Correlation Analysis for SSVEP-Based BCIs
TL;DR: A recognition approach is proposed based on the extracted frequency features for an SSVEP-based brain computer interface (BCI) that were higher than those using a widely used fast Fourier transform (FFT)-based spectrum estimation method.
Journal ArticleDOI
Design and implementation of a brain-computer interface with high transfer rates
TL;DR: A brain-computer interface that can help users to input phone numbers based on the steady-state visual evoked potential (SSVEP), which has noninvasive signal recording, little training required for use, and high information transfer rate.