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Title of Journal: Med Biol Eng Comput

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Abbravation: Medical & Biological Engineering & Computing

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Springer-Verlag

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DOI

10.1002/pssa.2210050112

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1741-0444

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Adapted filter banks for feature extraction in tra

Authors: Arief R Harris Karsten Schwerdtfeger Daniel J Strauss
Publish Date: 2011/01/11
Volume: 49, Issue: 2, Pages: 221-231
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Abstract

A novel adaptive and approximate shiftinvariant wavelet packet feature extraction scheme for eventrelated potentials ERPs in the electroencephalogram EEG is introduced in this paper In this algorithm the shiftinvariant wavelet packed decomposition is done by integrating a cost function for decimation decision in each subband 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 singlepulse 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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