Zha Daifeng, Gao Yubao, Xiong Meiying, Wu Liangdan, Qiu Tianshuang
College of Electronic Engineering, Jiujiang University, Jiujiang 332005, China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2010 Jun;27(3):495-9.
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.
传统的诱发电位分析是在诱发电位中的背景噪声呈高斯分布的条件下发展起来的。阿尔法稳定分布是高斯分布的推广,在生物医学信号处理中,它比高斯分布更适合对脉冲噪声进行建模。传统的诱发电位盲分离和估计方法基于二阶统计量(SOS)。在本文中,我们提出了一种基于最小离散准则和吉文斯矩阵的新算法。仿真实验表明,所提出的新算法比传统算法更具鲁棒性。