Tools for Acquisition, Processing and Knowledge-Based Diagnostic of the Electroencephalogram and Visual Evoked Potentials |
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| Authors: | L. Moreno J. L. Sánchez S. Mañas J. D. Piñeiro J. J. Merino J. Sigut R. M. Aguilar J. I. Estévez R. Marichal |
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| Affiliation: | 1. Department of Applied Physics, Universidad de La Laguna, La Laguna, Spain
2. Service of Neurophysiology, Hospital de La Candelaria, Santa Cruz de Tenerife, Spain
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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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