The Electroencephalogram as a Biomarker Based on Signal Processing Using Nonlinear Techniques to Detect Dementia

  • Luis A. GuerraEmail author
  • Laura C. Lanzarini
  • Luis E. Sánchez
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 94)


Dementia being a syndrome caused by a brain disease of a chronic or progressive nature, in which the irreversible loss of intellectual abilities, learning, expressions arises; including memory, thinking, orientation, understanding and adequate communication, of organizing daily life and of leading a family, work and autonomous social life; leads to a state of total dependence; therefore, its early detection and classification is of vital importance in order to serve as clinical support for physicians in the personalization of treatment programs. The use of the electroencephalogram as a tool for obtaining information on the detection of changes in brain activities. This article reviews the types of cognitive spectrum dementia, biomarkers for the detection of dementia, analysis of mental states based on electromagnetic oscillations, signal processing given by the electroencephalogram, review of processing techniques, results obtained where it is proposed the mathematical model about neural networks, discussion and finally the conclusions.


Biomarker Dementia Electroencephalogram Signal processing Neuronal network 


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Luis A. Guerra
    • 1
    Email author
  • Laura C. Lanzarini
    • 2
  • Luis E. Sánchez
    • 3
  1. 1.Universidad de las Fuerzas Armadas-ESPESangolquiEcuador
  2. 2.Universidad Nacional de la PlataLa PlataArgentina
  3. 3.Universidad de la ManchaLa ManchaSpain

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