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Tools for Acquisition, Processing and Knowledge-Based Diagnostic of the Electroencephalogram and Visual Evoked Potentials

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Abstract

The objective of our research is to develop computer-based tools to automate the clinical evaluation of the electroencephalogram (EEG) and visual evoked potentials (VEP). This paper describes a set of solutions to support all the aspects regarding the standard procedures of the diagnosis in neurophysiology, including: (1) acquisition and real-time processing and compression of EEG and VEP signals, (2) real-time brain mapping of spectral powers, (3) classifier design, (4) automatic detection of morphologies through supervised neural networks. (5) signal analysis through fuzzy modelling, and (6) a knowledge based approach to classifier design.

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Authors and Affiliations

  1. Department of Applied Physics, Universidad de La Laguna, La Laguna, Spain

    L. Moreno, J. L. Sánchez, J. D. Piñeiro, J. J. Merino, J. Sigut, R. M. Aguilar, J. I. Estévez & R. Marichal

  2. Service of Neurophysiology, Hospital de La Candelaria, Santa Cruz de Tenerife, Spain

    S. Mañas

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  1. L. Moreno
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  2. J. L. Sánchez
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  3. S. Mañas
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  4. J. D. Piñeiro
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  5. J. J. Merino
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  7. R. M. Aguilar
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  8. J. I. Estévez
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Moreno, L., Sánchez, J.L., Mañas, S. et al. Tools for Acquisition, Processing and Knowledge-Based Diagnostic of the Electroencephalogram and Visual Evoked Potentials. Journal of Medical Systems 25, 177–194 (2001). https://doi.org/10.1023/A:1010780900068

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