Document Detail


Time Domain Parameters as a feature for EEG-based Brain-Computer Interfaces.
MedLine Citation:
PMID:  19660908     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Several feature types have been used with EEG-based Brain-Computer Interfaces. Among the most popular are logarithmic band power estimates with more or less subject-specific optimization of the frequency bands. In this paper we introduce a feature called Time Domain Parameter that is defined by the generalization of the Hjorth parameters. Time Domain Parameters are studied under two different conditions. The first setting is defined when no data from a subject is available. In this condition our results show that Time Domain Parameters outperform all band power features tested with all spatial filters applied. The second setting is the transition from calibration (no feedback) to feedback, in which the frequency content of the signals can change for some subjects. We compare Time Domain Parameters with logarithmic band power in subject-specific bands and show that these features are advantageous in this situation as well.
Authors:
Carmen Vidaurre; Nicole Kr??mer; Benjamin Blankertz; Alois Schl??gl
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, Non-U.S. Gov't     Date:  2009-07-22
Journal Detail:
Title:  Neural networks : the official journal of the International Neural Network Society     Volume:  22     ISSN:  1879-2782     ISO Abbreviation:  Neural Netw     Publication Date:  2009 Nov 
Date Detail:
Created Date:  2009-10-30     Completed Date:  2010-01-25     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8805018     Medline TA:  Neural Netw     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1313-9     Citation Subset:  IM    
Affiliation:
Machine Learning Group, Berlin Institute of Technology, Franklinstr. 28/29, 10587 Berlin, Germany. vidcar@cs.tu-berlin.de
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MeSH Terms
Descriptor/Qualifier:
Adult
Algorithms
Brain / physiology*
Calibration
Electroencephalography / methods*
Feedback, Psychological / physiology
Female
Humans
Male
Signal Processing, Computer-Assisted*
Time Factors
User-Computer Interface*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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