Title :
The Study on Non-Linear Identification Algorithm about EEG
Author :
Cui, Jianming ; Guo, Xiaoming
Author_Institution :
Modern Educ. Technol. Center, Guilin Univ. of Technol., Guilin, China
Abstract :
About EEG, we could seem as a chaotic attractor, and the identification EEG has been changed into the identification of non-linear parameter. In the identification processing, we find that the optimized algorithm PSO is better to produce a adaptive result.
Keywords :
chaos; electroencephalography; medical signal processing; nonlinear dynamical systems; particle swarm optimisation; signal classification; EEG identification; PSO; chaotic attractor; electroencephalography; nonlinear parameter identification algorithm; particle swarm optimisation; Algorithm design and analysis; Brain modeling; Chaos; Electroencephalography; Mathematical model; Noise; Signal processing algorithms;
Conference_Titel :
Management and Service Science (MASS), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6579-8
DOI :
10.1109/ICMSS.2011.5999218
