Comparing Steady-State Visually Evoked Potentials Frequency Estimation Methods in Brain-Computer Int...
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
About this item
Full title
Author / Creator
Publisher
Iran University of Medical Sciences
Journal title
Language
English
Formats
Publication information
Publisher
Iran University of Medical Sciences
Subjects
More information
Scope and Contents
Contents
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 estimate SSVEP responses to BCI applications. Methods:...
Alternative Titles
Full title
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
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_094973eede5a4fb8b0cd90f432ea9844
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_094973eede5a4fb8b0cd90f432ea9844
Other Identifiers
ISSN
2008-126X
E-ISSN
2228-7442
