| Time Domain Parameters as a feature for EEG-based Brain-Computer Interfaces. | |
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MedLine Citation:
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PMID: 19660908 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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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. |
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Authors:
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Carmen Vidaurre; Nicole Kr??mer; Benjamin Blankertz; Alois Schl??gl |
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Publication Detail:
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Type: Comparative Study; Journal Article; Research Support, Non-U.S. Gov't Date: 2009-07-22 |
Journal Detail:
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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:
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Created Date: 2009-10-30 Completed Date: 2010-01-25 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8805018 Medline TA: Neural Netw Country: United States |
Other Details:
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Languages: eng Pagination: 1313-9 Citation Subset: IM |
Affiliation:
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Machine Learning Group, Berlin Institute of Technology, Franklinstr. 28/29, 10587 Berlin, Germany. vidcar@cs.tu-berlin.de |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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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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