Tools for acquisition, processing and knowledge-based diagnostic of the electroencephalogram and visual evoked potentials.
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.
Moreno
L
L
Department of Applied Physics, Universidad de La Laguna, La Laguna, Spain.
Sánchez
J L
JL
Mañas
S
S
Piñeiro
J D
JD
Merino
J J
JJ
Sigut
J
J
Aguilar
R M
RM
Estévez
J I
JI
Marichal
R
R
D000293:Adolescent; D000328:Adult; D002648:Child; D002675:Child, Preschool; D020000:Decision Support Systems, Clinical; D004569:Electroencephalography; D005074:Evoked Potentials, Visual; D005260:Female; D017143:Fuzzy Logic; D006801:Humans; D008297:Male; D016571:Neural Networks, Computer; D012815:Signal Processing, Computer-Assisted