| A user-friendly SSVEP-based brain-computer interface using a time-domain classifier. | |
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MedLine Citation:
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PMID: 20332551 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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We introduce a user-friendly steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) system. Single-channel EEG is recorded using a low-noise dry electrode. Compared to traditional gel-based multi-sensor EEG systems, a dry sensor proves to be more convenient, comfortable and cost effective. A hardware system was built that displays four LED light panels flashing at different frequencies and synchronizes with EEG acquisition. The visual stimuli have been carefully designed such that potential risk to photosensitive people is minimized. We describe a novel stimulus-locked inter-trace correlation (SLIC) method for SSVEP classification using EEG time-locked to stimulus onsets. We studied how the performance of the algorithm is affected by different selection of parameters. Using the SLIC method, the average light detection rate is 75.8% with very low error rates (an 8.4% false positive rate and a 1.3% misclassification rate). Compared to a traditional frequency-domain-based method, the SLIC method is more robust (resulting in less annoyance to the users) and is also suitable for irregular stimulus patterns. |
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Authors:
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An Luo; Thomas J Sullivan |
Publication Detail:
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Type: Comparative Study; Evaluation Studies; Journal Article Date: 2010-03-23 |
Journal Detail:
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Title: Journal of neural engineering Volume: 7 ISSN: 1741-2552 ISO Abbreviation: J Neural Eng Publication Date: 2010 Apr |
Date Detail:
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Created Date: 2010-03-24 Completed Date: 2010-06-30 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101217933 Medline TA: J Neural Eng Country: England |
Other Details:
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Languages: eng Pagination: 26010 Citation Subset: IM |
Affiliation:
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NeuroSky Inc., San Jose, CA, USA. aluo@neurosky.com |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adult Algorithms Brain / physiology* Computers Electrodes / economics Electroencephalography / economics, instrumentation, methods* Evoked Potentials, Visual* Female Humans Male Middle Aged Photic Stimulation Signal Processing, Computer-Assisted* Time Factors User-Computer Interface* Visual Perception / physiology* Young Adult |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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