| Adapted filter banks for feature extraction in transcranial magnetic stimulation evoked responses. | |
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MedLine Citation:
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PMID: 21222168 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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A novel adaptive and approximate shift-invariant wavelet packet feature extraction scheme for event-related potentials (ERPs) in the electroencephalogram (EEG) is introduced in this paper. In this algorithm, the shift-invariant wavelet packed decomposition is done by integrating a cost function for decimation decision in each sub-band expansion. Additionally, a shape adaptation of the wavelet is implemented to find the best adapted wavelet shape for a given class of ERPs. This scheme is used to analyze the time course of the impact of single-pulse transcranial magnetic stimulation (TMS) to the auditory ERPs. We show that the proposed scheme is able to extract even slightest impacts of TMS, making it a promising tool for the extraction of weak ERPs components, particularly in hybrid TMS-EEG/ERP setups. |
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Authors:
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Arief R Harris; Karsten Schwerdtfeger; Daniel J Strauss |
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Publication Detail:
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Type: Journal Article Date: 2011-01-11 |
Journal Detail:
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Title: Medical & biological engineering & computing Volume: 49 ISSN: 1741-0444 ISO Abbreviation: Med Biol Eng Comput Publication Date: 2011 Feb |
Date Detail:
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Created Date: 2011-02-02 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7704869 Medline TA: Med Biol Eng Comput Country: United States |
Other Details:
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Languages: eng Pagination: 221-31 Citation Subset: IM |
Affiliation:
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Computational Diagnostics and Biocybernetics Unit, Saarland University Hospital and Saarland University of Applied Sciences, Homburg/Saar, Germany. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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