TY - GEN
T1 - Adaptive complex wavelet-based filtering of EEG for extraction of evoked potential responses
AU - Jacquin, Arnaud
AU - Causevic, Elvir
AU - John, Roy
AU - Kovacevic, Jelena
N1 - Copyright:
Copyright 2015 Elsevier B.V., All rights reserved.
PY - 2005
Y1 - 2005
N2 - We propose a new method for the extraction of Auditory Brainstem Responses (ABRs) from an EEG signal. It is based on adaptive filtering of signals in the wavelet domain, where the transform used is a nearly shift-invariant Complex Wavelet Transform (CWT). We compare our algorithm to two existing methods: The first simply consists of bandpass filtering the input EEG signal followed by linear averaging. The second method uses signal-adaptive filtering in the Fourier domain based on phase variance computed at each spectral component of the FFT. Realistic models of EEG and ABR are generated for this comparison. Results show that the wavelet-based method consistently outperforms the other two methods for ABR signals with an initial signal-to-noise ratio less than -20 dB.
AB - We propose a new method for the extraction of Auditory Brainstem Responses (ABRs) from an EEG signal. It is based on adaptive filtering of signals in the wavelet domain, where the transform used is a nearly shift-invariant Complex Wavelet Transform (CWT). We compare our algorithm to two existing methods: The first simply consists of bandpass filtering the input EEG signal followed by linear averaging. The second method uses signal-adaptive filtering in the Fourier domain based on phase variance computed at each spectral component of the FFT. Realistic models of EEG and ABR are generated for this comparison. Results show that the wavelet-based method consistently outperforms the other two methods for ABR signals with an initial signal-to-noise ratio less than -20 dB.
UR - http://www.scopus.com/inward/record.url?scp=33646818347&partnerID=8YFLogxK
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U2 - 10.1109/ICASSP.2005.1416323
DO - 10.1109/ICASSP.2005.1416323
M3 - Conference contribution
AN - SCOPUS:33646818347
SN - 0780388747
SN - 9780780388741
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - V393-V396
BT - 2005 IEEE ICASSP '05 - Proc. - Design and Implementation of Signal Proces.Syst.,Indust. Technol. Track,Machine Learning for Signal Proces. Education, Spec. Sessions
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
Y2 - 18 March 2005 through 23 March 2005
ER -