The use of the ALOPEX process in extracting normal and abnormal visual evoked potentials

Author

Wang, J.-Z. ; Micheli-Tzanakou, E.

Author_Institution

Dept. of Biomed. Eng., Rutgers Univ., Piscataway, NJ, USA

Volume

9

Issue

1

fYear

1990

fDate

3/1/1990 12:00:00 AM

Firstpage

44

Lastpage

46

Abstract

The ALOPEX method, a multiparameter stochastic optimization technique, is used for the optimal extraction of parameters in fitting randomly chosen action potentials to normal and abnormal visual evoked potential (VEP) waveforms. It is assumed that conformational changes in the abnormal VEPs can be attributed to an asynchrony in the arrival of action potentials at an integration point in the visual cortex. The results indicate that the assumption is valid in all five of the five records processed, of which two were normal and three abnormal. Further experimentation is needed to see if the method can be used as a diagnostic tool.<>

Keywords

bioelectric potentials; computerised signal processing; medical diagnostic computing; optimisation; vision; waveform analysis; ALOPEX process; abnormal visual evoked potentials; arrival of action potentials; asynchrony; integration point; multiparameter stochastic optimization technique; normal visual evoked potentials; optimal extraction of parameters; randomly chosen action potentials; visual cortex; Biomedical engineering; Cost function; Data mining; Diseases; Equations; Frequency; History; Information analysis; Stochastic processes; Testing;

fLanguage

English

Journal_Title

Engineering in Medicine and Biology Magazine, IEEE

Publisher

ieee

ISSN

0739-5175

Type

jour

DOI

10.1109/51.62904

Filename

62904