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10th International Conference on Soft Computing Models in Industrial and Environmental Applications pp 49–63Cite as

A Preliminary Cooperative Genetic Fuzzy Proposal for Epilepsy Identification Using Wearable Devices

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 368))

Abstract

The epilepsy is one of the neurological disorders that affects people of all socioeconomic groups and ages. An incorrect treatment or a lack in monitoring might produce cognitive damage and depression. In previous work we presented a preliminary method for learning a generalized model to identify epilepsy episodes using 3DACC wearable devices placed on the dominant wrist of the subject. The model was based on a Fuzzy Finite State Machines to detect the epilepsy episodes in 3DACC time series. The learning model applied was a classical Genetic Fuzzy Finite State Machine. The goal of the present work is to adapt the previous learning scheme to a Cooperative Coevolutionary Genetic Fuzzy Finite State Machine to improve the classification results. The obtained results show that a Cooperative proposal outperform moderately the results of the original proposal.

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Acknowledgments

This research has been funded by the Spanish Ministry of Science and Innovation, under projects TIN2011-24302 and TIN2014-56967-R, Fundación Universidad de Oviedo project FUO-EM-340-13, Junta de Castilla y León projects BIO/BU09/14 and SACYL 2013 GRS/822/A/13.

Author information

Authors and Affiliations

  1. Computer Science Department, University of Oviedo, Oviedo, Spain

    E. A. de la Cal, J. R. Villar & P. M. Vergara

  2. Instituto Tecnológico de Castilla y León, Burgos, Spain

    J. Sedano

  3. University of Burgos, Burgos, Spain

    A. Herrero

Authors
  1. E. A. de la Cal
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  2. J. R. Villar
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  3. P. M. Vergara
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  4. J. Sedano
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  5. A. Herrero
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Corresponding author

Correspondence to E. A. de la Cal .

Editor information

Editors and Affiliations

  1. Department of Civil Engineering, University of Burgos, Burgos, Spain

    Álvaro Herrero

  2. C/ López Bravo 70, Pol. Ind. Villalonquejar, Technological Institute of Castilla y León, Burgos, Spain

    Javier Sedano

  3. Department of Civil Engineering, University of Burgos, Burgos, Spain

    Bruno Baruque

  4. University of Salamanca, Salamanca, Spain

    Héctor Quintián

  5. University of Salamanca, Salamanca, Spain

    Emilio Corchado

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© 2015 Springer International Publishing Switzerland

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Cite this paper

de la Cal, E.A., Villar, J.R., Vergara, P.M., Sedano, J., Herrero, A. (2015). A Preliminary Cooperative Genetic Fuzzy Proposal for Epilepsy Identification Using Wearable Devices. In: Herrero, Á., Sedano, J., Baruque, B., Quintián, H., Corchado, E. (eds) 10th International Conference on Soft Computing Models in Industrial and Environmental Applications. Advances in Intelligent Systems and Computing, vol 368. Springer, Cham. https://doi.org/10.1007/978-3-319-19719-7_5

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  • DOI: https://doi.org/10.1007/978-3-319-19719-7_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19718-0

  • Online ISBN: 978-3-319-19719-7

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