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Titolo:
ECG DIAGNOSTICS BY FUZZY DECISION-MAKING
Autore:
GRAUEL A; LUDWIG LA; KLENE G;
Indirizzi:
UNIV GESAMTHSCH PADERBORN,ABT SOEST,FG MATH METHODEN & SYST THEORIE,FB 16,STEINGRABEN 21 D-59494 SOEST GERMANY
Titolo Testata:
International journal of uncertainty, fuzziness and knowledge-based systems
fascicolo: 2, volume: 6, anno: 1998,
pagine: 201 - 210
SICI:
0218-4885(1998)6:2<201:EDBFD>2.0.ZU;2-2
Fonte:
ISI
Lingua:
ENG
Keywords:
RULE-BASED ANALYSIS OF TIME SERIES; FUZZY LOGIC SYSTEMS; ECG ANALYSIS;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
CompuMath Citation Index
Science Citation Index Expanded
Citazioni:
19
Recensione:
Indirizzi per estratti:
Citazione:
A. Grauel et al., "ECG DIAGNOSTICS BY FUZZY DECISION-MAKING", International journal of uncertainty, fuzziness and knowledge-based systems, 6(2), 1998, pp. 201-210

Abstract

The analysis of electrocardiograms (ECGs) helps physicians make theircardiac diagnosis. Therefore a large store of medical knowledge and practical experience is required. In this paper we report on our investigations of a rule-based fuzzy logic system that processes ECG data using the knowledge of a medical expert. The aim is to give support to the physician for his diagnosis. In this first consideration we discusssingle modules of the rule-based system proposed and moreover we present the used input and output variables of the rulebases. The performance of the implemented rule-based fuzzy logic system is tested using ECGs with abnormalities in the P and T wave as well as in the QRS complex. The system's output corresponds to the analysis of these ECGs by amedical expert.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 09/07/20 alle ore 14:06:31