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Titolo:
USE OF ARTIFICIAL NEURAL NETWORKS WITHIN DETERMINISTIC LOGIC FOR THE COMPUTER ECG DIAGNOSIS OF INFERIOR MYOCARDIAL-INFARCTION
Autore:
YANG TF; DEVINE B; MACFARLANE PW;
Indirizzi:
GLASGOW ROYAL INFIRM,DEPT MED CARDIOL,10 ALEXANDRA PARADE GLASGOW G312ER LANARK SCOTLAND GLASGOW ROYAL INFIRM,DEPT MED CARDIOL GLASGOW G31 2ER LANARK SCOTLAND
Titolo Testata:
Journal of electrocardiology
, volume: 27, anno: 1994, supplemento:, S
pagine: 188 - 193
SICI:
0022-0736(1994)27:<188:UOANNW>2.0.ZU;2-N
Fonte:
ISI
Lingua:
ENG
Keywords:
ARTIFICIAL NEURAL NETWORKS; DETERMINISTIC LOGIC; INFERIOR MYOCARDIAL INFARCTION; AUTOMATED ECG ANALYSIS;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Citazioni:
18
Recensione:
Indirizzi per estratti:
Citazione:
T.F. Yang et al., "USE OF ARTIFICIAL NEURAL NETWORKS WITHIN DETERMINISTIC LOGIC FOR THE COMPUTER ECG DIAGNOSIS OF INFERIOR MYOCARDIAL-INFARCTION", Journal of electrocardiology, 27, 1994, pp. 188-193

Abstract

An investigation into the use of software-based artificial neural networks for the electrocardiographic (EGG) detection of inferior myocardial infarction was made. A total of 592 clinically validated subjects,including 208 with inferior myocardial infarction, 300 normal subjects, and 84 left ventricular hypertrophy cases, were used in this study. A total of 200 ECGs (100 from patients with inferior myocardial infarction and 100 from normal subjects) were fed to 66 supervised feedforward neural networks for training using a back-propagation algorithm. QRS and ST-T wave measurements were used as the input parameters for the neural networks. The best performing network using QRS measurements only and the best using QRS and ST-T data were selected by assessing atest set of 292 ECGs (108 from patients with inferior myocardial infarction, 84 from patients with left ventricular hypertrophy, and 100 from normal subjects). These two networks were then implanted separatelyinto the deterministic Glasgow program for further study. After the implementation, it was found necessary to include a small inferior Q criterion to improve the specificity of reporting inferior myocardial infarction, thereby producing a small loss of sensitivity as compared with use of the network alone. The use of an artificial neural network within the deterministic logic performed better than either alone in the diagnosis of inferior myocardial infarction, producing a 20% gain insensitivity with 2% loss in overall specificity compared with the original deterministic logic.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 12/07/20 alle ore 13:07:16