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A Hierarchical Pattern Matching Procedure for Signal Abstraction

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Current Topics in Artificial Intelligence (CAEPIA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4177))

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Abstract

The Multivariable Fuzzy Temporal Profile model enables human experts to project their knowledge of a signal pattern, described over a set of parameters, into a computable description. Here it is endowed with a hierarchical capability through the definition of algorithms that recognize a set of findings over a signal, and aggregate them into a set of abstraction levels. We also present a heuristics that takes advantage of the continuity properties of real signals to allow the matching process to meet real time requirements, even over high frequency signals.

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Author information

Authors and Affiliations

  1. Dpto. de Electrónica e Computación, Universidade de Santiago de Compostela, Santiago de Compostela, 15782, Spain

    A. Otero, P. Félix, S. Fraga & S. Barro

  2. Hospital Universitario de Getafe, Madrid, Spain

    F. Palacios

Authors
  1. A. Otero
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  2. P. Félix
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  3. S. Fraga
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  4. S. Barro
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  5. F. Palacios
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Editor information

Editors and Affiliations

  1. Dpto. de Ingeniería de la Información da las Comunicaciones, Universidad de Murcia, Campus de Espinardo, s/n., 30071, Murcia, Spain

    Roque Marín

  2. Universidad Politecnica de Valencia, (Spain)

    Eva Onaindía

  3. Dept. Electronics and Computer Science, University of Santiago de Compostela,  

    Alberto Bugarín

  4. Department of Life Sciences, Imperial College London, SW7 2AZ, London, UK

    José Santos

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© 2006 Springer-Verlag Berlin Heidelberg

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Otero, A., Félix, P., Fraga, S., Barro, S., Palacios, F. (2006). A Hierarchical Pattern Matching Procedure for Signal Abstraction. In: Marín, R., Onaindía, E., Bugarín, A., Santos, J. (eds) Current Topics in Artificial Intelligence. CAEPIA 2005. Lecture Notes in Computer Science(), vol 4177. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881216_4

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  • DOI: https://doi.org/10.1007/11881216_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45914-9

  • Online ISBN: 978-3-540-45915-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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