Tools for acquisition, processing and knowledge-based diagnostic of the electroencephalogram and visual evoked potentials

被引:3
作者
Moreno L. [1 ]
Sánchez J.L. [1 ]
Mañas S. [2 ]
Piñeiro J.D. [1 ]
Merino J.J. [1 ]
Sigut J. [1 ]
Aguilar R.M. [1 ]
Estévez J.I. [1 ]
Marichal R. [1 ]
机构
[1] Department of Applied Physics, Universidad de La Laguna, La Laguna
[2] Service of Neurophysiology, Hospital de La Candelaria, Santa Cruz de Tenerife
关键词
EEG; Fuzzy logic; KBS; Neural networks; Quantitative EEG; VEP;
D O I
10.1023/A:1010780900068
中图分类号
学科分类号
摘要
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. © 2001 Plenum Publishing Corporation.
引用
收藏
页码:177 / 194
页数:17
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