Automated oscillatory potential detection and parameter extraction in the electroretinogram

Author

Meklenburg, J. ; Clancy, E.A. ; Tzekov, R.

Author_Institution

Dept. Electr. & Comp. Eng., Worcester Polytech. Inst., Worcester, MA, USA

fYear

2011

fDate

1-3 April 2011

Firstpage

1

Lastpage

2

Abstract

The oscillatory potentials (OPs) of the electroretinogram (ERG) have long been used to study the progression of a number of retinal disorders. The OP parameters used in these studies are difficult to evaluate directly from the unconditioned ERG signal. Automated OP detection software was developed in MATLAB to extract the OP wavelets, identify peaks, and extract parameters of interest including the implicit time and amplitude of each OP along with the noise-adjusted RMS value of the entire OP signal. The cutoff frequency for OP filtering was determined adaptively for each record based on the characteristics of the Discrete Fourier Transform of the ERG. Preliminary testing of the software was conducted using mouse data.

Keywords

bioelectric potentials; discrete Fourier transforms; electroretinography; filtering theory; mathematics computing; medical disorders; medical signal detection; medical signal processing; ERG; MATLAB; automated oscillatory potential detection; cutoff frequency; discrete Fourier transform; electroretinogram; filtering; noise-adjusted RMS value; parameter extraction; peak identification; retinal disorders; wavelet extraction; Band pass filters; Cutoff frequency; Discrete Fourier transforms; Electric potential; Filtering algorithms; Mice; Software;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioengineering Conference (NEBEC), 2011 IEEE 37th Annual Northeast

Conference_Location

Troy, NY

ISSN

2160-7001

Print_ISBN

978-1-61284-827-3

Type

conf

DOI

10.1109/NEBC.2011.5778637

Filename

5778637