Comparing Steady-State Visually Evoked Potentials Frequency Estimation Methods in Brain-Computer Interface With the Minimum Number of EEG Channels

Comparing Steady-State Visually Evoked Potentials Frequency Estimation Methods in Brain-Computer Interface With the Minimum Number of EEG Channels

Introduction: Brain-Computer Interface (BCI) systems provide a communication pathway between users and systems. BCI systems based on Steady-State Visually Evoked Potentials (SSVEP) are widely used in recent decades. Different feature extraction methods have been introduced in the literature to estim...

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Bibliographic Details
Main Authors: Mehrnoosh Neghabi, Hamid Reza Marateb, Amin Mahnam
Format: Article
Language:English
Published: Iran University of Medical Sciences 2019-05-01
Series:Basic and Clinical Neuroscience
Subjects:
Brain-Computer Interface (BCI)
Electroencephalogram (EEG)
Feature extraction
Steady-State Visually Evoked Potential (SSVEP)
Online Access:http://bcn.iums.ac.ir/article-1-968-en.html

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http://bcn.iums.ac.ir/article-1-968-en.html

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