DocumentCode
356769
Title
A genetic approach to ARMA filter synthesis for EEG signal simulation
Author
Janeczko, C. ; Lopes, Heitor S.
Author_Institution
Dept. of Electron., CEFET-PR, Brazil
Volume
1
fYear
2000
fDate
2000
Firstpage
373
Abstract
This paper describes the computational simulation of an electroencephalographic (EEG) signal (background activity, alpha waves) by filtering a white noise with an ARMA (Autoregressive Moving Average) filter. The filter coefficients were obtained interactively using genetic algorithms, comparing the spectrum of a real and a simulated signal. Results demonstrate the feasibility of the technique
Keywords
autoregressive moving average processes; electroencephalography; filtering theory; genetic algorithms; medical signal processing; white noise; ARMA filter synthesis; EEG signal simulation; alpha waves; autoregressive moving average filter; background activity; computational simulation; electroencephalographic signal; genetic algorithms; white noise; Autoregressive processes; Brain modeling; Computational modeling; Differential equations; Electroencephalography; Filtering; Filters; Genetics; Signal synthesis; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2000. Proceedings of the 2000 Congress on
Conference_Location
La Jolla, CA
Print_ISBN
0-7803-6375-2
Type
conf
DOI
10.1109/CEC.2000.870319
Filename
870319
Link To Document