title: [Blind estimation of evoked potentials based on covariations in non-gaussian noise].
abstract: Evoked potentials (EPs) have been widely used to quantify neurological system properties. Traditional EP analysis has been developed under the condition that the background noises in EP are Gaussian distributed. Recently some researches indicate that electroencephalogram (EEG) is non-guassian in some especial conditions. Alpha stable distribution can model impulsive EEG in especial experimentation such as acceleration bump and devoid oxygen. In this paper, blind signals separation based on covariations is analyzed and discussed by the nonexistence of the finite second or higher order statistic. The simulation experimental results show that the method has good performance to separate Evoked potentials (EPs) from fractional lower order alpha stable distribution noise.
authors.affiliation: College of Electronic Engineering, Jiujiang University, Jiujiang 332005, China. lzjuestc@163.com
authors.forename: Zhengjian
authors.initials: Z
authors.lastname: Lin
authors.forename: Daifeng
authors.initials: D
authors.lastname: Zha
authors.forename: Jian
authors.initials: J
authors.lastname: Sheng
mesh_terms: D000465:Algorithms; D016477:Artifacts; D001921:Brain / Q000502:physiology; D003198:Computer Simulation; D004569:Electroencephalography / Q000379:methods; D005071:Evoked Potentials / Q000502:physiology*; D006801:Humans; D012815:Signal Processing, Computer-Assisted