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Titolo:
MULTIRESOLUTION DECOMPOSITION OF THE SIGNAL-AVERAGED ECG USING THE MALLAT APPROACH FOR PREDICTION OF ARRHYTHMIC EVENTS AFTER MYOCARDIAL-INFARCTION
Autore:
SIERRA G; FETSCH T; REINHARDT L; MARTINEZRUBIO A; MAKIJARVI M; BALKENHOFF K; BORGGREFE M; BREITHARDT G;
Indirizzi:
HOP SACRE COEUR,CTR RECH,5400 OUEST,BLVD GOUIN MONTREAL PQ H4J 1C5 CANADA HELSINKI CENT HOSP HELSINKI FINLAND UNIV MUNSTER,INST ARTERIOSCLEROSIS RES D-4400 MUNSTER GERMANY HOSP WESTFAL WILHELMS UNIV,DEPT CARDIOL & ANGIOL MUNSTER GERMANY
Titolo Testata:
Journal of electrocardiology
fascicolo: 3, volume: 29, anno: 1996,
pagine: 223 - 234
SICI:
0022-0736(1996)29:3<223:MDOTSE>2.0.ZU;2-5
Fonte:
ISI
Lingua:
ENG
Soggetto:
VENTRICULAR LATE POTENTIALS; WAVELET TRANSFORM; HIGH-RESOLUTION; TIME; TACHYCARDIA; ELECTROCARDIOGRAM; DOMAIN;
Keywords:
WAVELET TRANSFORM; SIGNAL-AVERAGED ECG; MULTIRESOLUTION DECOMPOSITION; VENTRICULAR LATE POTENTIALS;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Citazioni:
37
Recensione:
Indirizzi per estratti:
Citazione:
G. Sierra et al., "MULTIRESOLUTION DECOMPOSITION OF THE SIGNAL-AVERAGED ECG USING THE MALLAT APPROACH FOR PREDICTION OF ARRHYTHMIC EVENTS AFTER MYOCARDIAL-INFARCTION", Journal of electrocardiology, 29(3), 1996, pp. 223-234

Abstract

The aim of this study was to analyze the ability of the multiresolution decomposition of the signal-averaged electrocardiogram (EGG) to discriminate between patients who develop life-threatening ventricular arrhythmias after myocardial infarction and those who do not and to compare the predictive values of this approach with those obtained from the analysis of ventricular late potentials in the time domain. Signal-averaged ECGs of 769 prospectively included patients were analyzed. A total of 42 arrhythmic events occurred during the follow-up period. Fornumerical calculations of wavelet analysis, the total and relative energies of the QRS complex were obtained in seven frequency bands. The combination of the relative energy in the frequency bands 7.8-15.6 Hz and 62.5-125 Hz enhanced statistical performance as compared with the time-domain parameters (positive predictive accuracy, 11.3 vs 8.2%). Combining wavelet transform and time-domain parameters enhanced the predictive values even more (positive predictive accuracy, 14.3%) compared with applying each method alone.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 28/09/20 alle ore 15:41:17