Research on Detecting Method of Multifocal Electroretinal Signal

Author

Zhang JingZhou ; Zhou Zhao ; Teng Jionghua ; Dai Guanzhong ; Miao Zhiping

Author_Institution

Sch. of Autom., Northwestern Polytech. Univ., Xi´an, China

fYear

2009

fDate

17-19 Oct. 2009

Firstpage

1

Lastpage

4

Abstract

The design indexes and signal processing algorithm of multifocal electroretinal signal recording system are studied. Based on documents of International Society for Clinical Electrophysiology of Vision, design indexes of the system are proposed. Combining system identification theories and modern digital signal processing techniques, pretreatment and waveform extracting algorithms of multifocal electroretinal signal are discussed. With multifocal electroretinal signal data from clinic, the algorithms are programmed and simulated under environments of MatLab and Visual C++, and the results show that the algorithms are effective and clinically feasible.

Keywords

C++ language; biology computing; biomedical measurement; electroretinography; mathematics computing; medical signal processing; MatLab; Visual C++; multifocal electroretinal signal recording system; signal processing algorithm; Computer displays; Data mining; Electrodes; Filtering; Frequency; Interference elimination; Retina; Signal detection; Signal processing; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering and Informatics, 2009. BMEI '09. 2nd International Conference on

Conference_Location

Tianjin

Print_ISBN

978-1-4244-4132-7

Electronic_ISBN

978-1-4244-4134-1

Type

conf

DOI

10.1109/BMEI.2009.5305158

Filename

5305158