Tikhonov regularized solutions for improvement of signal-to-noise ratio in case of auditory-evoked potentials

被引：11

作者：

Aydin, Serap ^{[1
]}

机构：

[1] Ondokuz Mayis Univ, Fac Engn, Dept Elect & Elect Engn, TR-55139 Kurupelit, Samsun, Turkey

来源：

MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING | 2008年 / 46卷 / 10期

关键词：

Tikhonov; SNR improvement; auditory EP; ensemble average;

D O I：

10.1007/s11517-008-0385-0

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In the present study, standard Tikhonov regularization (STR) Technique and the subspace regularization (SR) method have been applied to remove the additive EEG noise on average auditory-evoked potential (EP) signals. In methodological manner, the difference between these methods is the formation of regularization matrices which are used to solve the weighted problem of EP estimation. Those methods are compared to ensemble averaging (EA) with respect to signal-to-noise-ratio (SNR) improvement in experimental studies, simulations and pseudo-simulations. The results of tests no superiority of the SR in comparison to STR has been observed. In addition, the STR is found to be less computational complex. Moreover, results support the theoretical fact that the STR was introduced to be optimum for smooth solutions whereas the SR allows sharp variations in solutions. Thus, the STR is found to be more useful in removing the noise with the average signal remaining.

引用

页码：1051 / 1056

页数：6

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