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Biorthogonal wavelet for EEG signal compression

Published: 26 October 2011 Publication History

Abstract

Compression of EEG signals is gaining importance in biomedical engineering due to the potential applications in telemedicine. In this paper, we propose a signal compression electro-encephalographic (EEG) method based on discrete wavelet transform (DWT). In order to do this, we developed an algorithm that makes the compression and recovery of these signals using the best suited method, the biorthogonal wavelet. The implementation of this algorithm on real signals (normal and pathological) gave satisfactory compression rates ranging from 65% to 90%, ensuring a good recovery.

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D. F. Walnut, An Introduction to Wavelet Analysis, Birkhäuser, 2002.
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M. Unser, A. Aldroubi, A Review of Wavelets in Biomedical Applications, Proceedings of the IEEE, vol.84, 4:626--638, 1996.
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F. Truchelet, Ondelettes pour le signal numérique, Ed. Hermes, Paris, 1998.
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Cited By

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  • (2013)The lifted wavelet transform for encephalic signal compression2013 36th International Conference on Telecommunications and Signal Processing (TSP)10.1109/TSP.2013.6613992(541-544)Online publication date: Jul-2013
  • (2013)Discrete wavelet transform analysis of surface electromyography for the fatigue assessment of neck and shoulder musclesJournal of Electromyography and Kinesiology10.1016/j.jelekin.2013.05.00123:5(995-1003)Online publication date: Oct-2013

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cover image ACM Other conferences
ISABEL '11: Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
October 2011
949 pages
ISBN:9781450309134
DOI:10.1145/2093698
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

  • Universitat Pompeu Fabra
  • IEEE
  • Technical University of Catalonia Spain: Technical University of Catalonia (UPC), Spain
  • River Publishers: River Publishers
  • CTTC: Technological Center for Telecommunications of Catalonia
  • CTIF: Kyranova Ltd, Center for TeleInFrastruktur

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 October 2011

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Author Tags

  1. DWT
  2. EEG
  3. biorthogonal
  4. compression
  5. wavelets

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  • Research-article

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ISABEL '11
Sponsor:
  • Technical University of Catalonia Spain
  • River Publishers
  • CTTC
  • CTIF

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Cited By

View all
  • (2013)The lifted wavelet transform for encephalic signal compression2013 36th International Conference on Telecommunications and Signal Processing (TSP)10.1109/TSP.2013.6613992(541-544)Online publication date: Jul-2013
  • (2013)Discrete wavelet transform analysis of surface electromyography for the fatigue assessment of neck and shoulder musclesJournal of Electromyography and Kinesiology10.1016/j.jelekin.2013.05.00123:5(995-1003)Online publication date: Oct-2013

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