多焦视网膜电信号的分离算法仿真研究

针对多焦视网膜电信号局部波形分离算法的原理与实现,以现代信号检测与系统辨识技术为基础,采用伪随机序列m-序列、快速walsh变换等数学理论及方法,研究了多焦视网膜电信号分离与提取的快速m-变换算法,并利用Visual C 进行编程,通过临床采集的实际信号对算法进行了仿真与验证。结果表明,文中所研究的算法能够快速准确地从多焦视网膜电信号总响应中分离提取出各局部刺激的响应信号波形。

A Practical Method for Extracting a Particular Local Signal from a mfERG

Aim. It is desirable to extract a particular local signal from the mixed electroretinal signals available in a mfERG(multifocal Electroretinogram).We now present a method that can do so under the conditions of a developing country like China.In the full paper,we explain our method and its simulation study in some detail.In this abstract,we just add some pertinent remarks to the three topics of explanation.The first topic is: basic principles.In the first topic,we do essentially two things:(1) based on the theory of cross correlation,we apply the Wiener-Hopf equation to extracting the particular local response from mixed electroretinal signals;(2) we apply m-sequence with pseudorandom features to controlling the hexagons on CRT and simulating the retina which will generate the mixed electroretinal signals.The second topic is: fast m-transform.In the second topic,we apply the fast m-transform which returns to the fast Walsh Transform to increase the computation speed.The third topic is: the simulation study using our algorithm.In the third topic,we discuss the generation and selection of m-sequence.Also in topic three,we program the algorithm by Visual C and simulate it through normal multifocal eletroretinal signals.Still in topic three,the analysis of the simulation results of extracting local signals from sufferers with retinal disease,summarized in two figures in the full paper,shows preliminarily that our algorithm can extract a particular local signal from the mixed electroretinal signals correctly and fleetly.