Evoked Potential Latency Delay Estimation by Using Covariation Correlation Approach
Evoked potential (EP) signals have been widely used to quantify neurological system properties. Delay in EP signals latency may be linked to neurological injuries. For abnormal cases where noises in EP signals usually appear impulsive, a novel robust approach, covariation correlation algorithm, is proposed to estimate EP latency delay based on fractional lower order statistics (FLOS) under α-stable distribution noise. Firstly, the auto-covariation of reference signal and cross-covariation between reference and detected signals are computed. Secondly, correlation between these two covariations series is calculated. Finally, the estimation value of EP latency delay is obtained from location of this correlation peak. Simulation studies show that the estimation precise of this novel algorithm is higher than that of correlation or covariation algorithms especially under lower mixed signal noise ratio (MSNR).
evoked potential (EP) latency delay estimation α-stable distribution covariation correlation
Liu Wenhong Wang Yuanyuan Qiu Tianshuang
Department of Electronic Engineering Fudan University Shanghai 200433, China School of Electronic and Information Engineering Dalian University of Technology Dalian 116024, Chin
国际会议
上海
英文
652-655
2008-05-16（万方平台首次上网日期，不代表论文的发表时间）