Title :
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
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;
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
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.804089
