Estimation of evoked potentials based on MD criterion and Givens matrix in non-Gaussian noise environments.
- Author:
Daifeng ZHA
1
;
Yubao GAO
;
Meiying XIONG
;
Liangdan WU
;
Tianshuang QIU
Author Information
1. College of Electronic Engineering, Jiujiang University, Jiujiang 332005, China. zhadaifeng@163.com
- Publication Type:Journal Article
- MeSH:
Algorithms;
Artifacts;
Brain;
physiology;
Electroencephalography;
methods;
Evoked Potentials;
physiology;
Humans;
Normal Distribution;
Signal Processing, Computer-Assisted
- From:
Journal of Biomedical Engineering
2010;27(3):495-499
- CountryChina
- Language:Chinese
-
Abstract:
Traditional EP analysis is developed under the condition that the background noises in EP are Gaussian distributed. Alpha stable distribution, a generalization of Gaussian, is better for modeling impulsive noises than Gaussian distribution in biomedical signal processing. Conventional blind separation and estimation method of evoked potentials is based on second order statistics (SOS). In this paper, we propose a new algorithm based on minimum dispersion criterion and Givens matrix. The simulation experiments show that the proposed new algorithm is more robust than the conventional algorithm.
