Differential diagnosis using signal analysis data

Author

Hudson, Donna L. ; Cohen, Maurice E. ; Anderson, Malcolm F. ; Deedwania, Prakash C.

Author_Institution

California Univ., San Francisco, CA, USA

Volume

2

fYear

1999

fDate

36434

Abstract

Signal analysis is particularly important in cardiology decision making, with the electrocardiogram (ECG) providing important information for differential diagnosis. In the work described here, a comprehensive hybrid system for differential diagnosis in cardiology is discussed. It comprises a rule-based expert system, a non-statistical neural network, and chaotic signal analysis. The method is illustrated in an example of differential diagnosis in cardiology

Keywords

cardiovascular system; chaos; diseases; electrocardiography; fuzzy neural nets; medical expert systems; medical signal processing; time series; cardiology decision making; chaotic signal analysis; comprehensive hybrid system; differential diagnosis; electrocardiogram; nonstatistical neural network; rule-based expert system; signal analysis data; Cardiology; Cats; Chaos; Delta modulation; Diagnostic expert systems; Diseases; Electrocardiography; Medical services; Neural networks; Signal analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint

Conference_Location

Atlanta, GA

ISSN

1094-687X

Print_ISBN

0-7803-5674-8

Type

conf

DOI

10.1109/IEMBS.1999.804089

Filename

804089