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

Authors:
L. Moreno;J. L. Sánchez;S. Mañas;J. D. Piñeiro;J. J. Merino;J. Sigut;R. M. Aguilar;J. I. Estévez;R. Marichal
Affiliations:
Department of Applied Physics, Universidad de La Laguna, La Laguna, Spain;Department of Applied Physics, Universidad de La Laguna, La Laguna, Spain;Service of Neurophysiology, Hospital de La Candelaria, Santa Cruz de Tenerife, Spain;Department of Applied Physics, Universidad de La Laguna, La Laguna, Spain;Department of Applied Physics, Universidad de La Laguna, La Laguna, Spain;Department of Applied Physics, Universidad de La Laguna, La Laguna, Spain;Department of Applied Physics, Universidad de La Laguna, La Laguna, Spain;Department of Applied Physics, Universidad de La Laguna, La Laguna, Spain;Department of Applied Physics, Universidad de La Laguna, La Laguna, Spain
Venue:
Journal of Medical Systems
Year:
2001

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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.