| SSVEP-BCI implementation for 37-40 Hz frequency range. | |
| | |
MedLine Citation:
|
PMID: 22255791 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
|
This work presents a Brain-Computer Interface (BCI) based on Steady State Visual Evoked Potentials (SSVEP), using higher stimulus frequencies (>30 Hz). Using a statistical test and a decision tree, the real-time EEG registers of six volunteers are analyzed, with the classification result updated each second. The BCI developed does not need any kind of settings or adjustments, which makes it more general. Offline results are presented, which corresponds to a correct classification rate of up to 99% and a Information Transfer Rate (ITR) of up to 114.2 bits/min. |
| | |
Authors:
|
Sandra Mara Torres Muller; Pablo F Diez; Teodiano Freire Bastos-Filho; Mario Sarcinelli-Filho; Vicente Mut; Eric Laciar |
Publication Detail:
|
Type: Journal Article |
Journal Detail:
|
Title: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference Volume: 2011 ISSN: 1557-170X ISO Abbreviation: Conf Proc IEEE Eng Med Biol Soc Publication Date: 2011 Aug |
Date Detail:
|
Created Date: 2012-01-18 Completed Date: - Revised Date: - |
Medline Journal Info:
|
Nlm Unique ID: 101243413 Medline TA: Conf Proc IEEE Eng Med Biol Soc Country: United States |
Other Details:
|
Languages: eng Pagination: 6352-5 Citation Subset: IM |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
|
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: Electronic performance of a dual inductive link for a wireless neural recording implant.
Next Document: Classifying real and imaginary finger press tasks on a P300-based brain-computer interface.