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International Conference on Rough Sets and Current Trends in Computing

RSCTC 1998: Rough Sets and Current Trends in Computing pp 444–449Cite as

Wavelets, Rough Sets and Artificial Neural Networks in EEG Analysis

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1424))

Abstract

We present a method for processing of EEG signals by means of wavelets, rough set based algorithms and neural networks. The hybrid approach makes problem of discerning between posttraumatic epilepsy and other causes of epilepsy solvable. Experimental results are showing that proposed approach is promising.

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References

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Author information

Authors and Affiliations

  1. Institute of Mathematics, Warsaw University, Banacha 2, 02-097, Warsaw

    Piotr Wojdyłło

Authors
  1. Piotr Wojdyłło
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Editor information

Editors and Affiliations

  1. Institute of Mathematics, Warsaw University of Technology, Pl. Politechniki 1, 00-665, Warszawa, Poland

    Lech Polkowski

  2. Institute of Mathematics, Warsaw University, Banacha 2, 02-097, Warszawa, Poland

    Andrzej Skowron

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© 1998 Springer-Verlag Berlin Heidelberg

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Wojdyłło, P. (1998). Wavelets, Rough Sets and Artificial Neural Networks in EEG Analysis. In: Polkowski, L., Skowron, A. (eds) Rough Sets and Current Trends in Computing. RSCTC 1998. Lecture Notes in Computer Science(), vol 1424. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-69115-4_61

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  • DOI: https://doi.org/10.1007/3-540-69115-4_61

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64655-6

  • Online ISBN: 978-3-540-69115-0

  • eBook Packages: Springer Book Archive

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