Concept of a knowledge based monitoring system for glaucoma and diabetic retinopathy using a telemedicine approach

Author

Zahlmann, Gudrun ; Schubert, Michael ; Obermaier, Marko ; Mann, Gerd

Author_Institution

GSF, Oberschleissheim, Germany

Volume

3

fYear

1996

fDate

31 Oct-3 Nov 1996

Firstpage

1230

Abstract

A knowledge based monitoring system for glaucoma and diabetic retinopathy is described, which is designed for the working place of a private ophthalmologist. The monitor detects critical situations in the patient´s status by means of a modular decision process, which consists of several fuzzy rule sets and hierarchical neural net classifiers for perimetry and an interactive image processing part for fundus images. Output is a message to the user connecting the local system with a web based information system for further recommendations

Keywords

biomedical telemetry; eye; fuzzy neural nets; fuzzy set theory; medical expert systems; medical image processing; patient monitoring; critical situations detection; diabetic retinopathy; fundus images; fuzzy rule sets; glaucoma; hierarchical neural net classifiers; interactive image processing part; knowledge based monitoring system; modular decision process; ophthalmology; perimetry; telemedicine approach; web based information system; Computerized monitoring; Diabetes; Diseases; Fuzzy sets; Information processing; Information systems; Medical treatment; Neural networks; Patient monitoring; Retinopathy;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE

Conference_Location

Amsterdam

Print_ISBN

0-7803-3811-1

Type

conf

DOI

10.1109/IEMBS.1996.652786

Filename

652786