Adapted filter banks for feature extraction in transcranial magnetic stimulation evoked responses

Abstract

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… (More)
DOI: 10.1007/s11517-010-0726-7

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Cite this paper

@article{Harris2010AdaptedFB, title={Adapted filter banks for feature extraction in transcranial magnetic stimulation evoked responses}, author={Arief R. Harris and Karsten Schwerdtfeger and Daniel J. Strauss}, journal={Medical & Biological Engineering & Computing}, year={2010}, volume={49}, pages={221-231} }