Literature DB >> 10367463

Fragmentation of bandpass-filtered QRS-complex of patients prone to malignant arrhythmia.

P Endt1, H D Hahlbohm, D Kreiseler, M Oeff, U Steinhoff, L Trahms.   

Abstract

The structure of high-frequency components of electric and magnetic signals from the heart during the depolarisation phase is investigated. After averaging and broadband filtering with a binomial bandpass filter (37 Hz-90 Hz), the fragmentation of the QRS-complex is quantified. The number of extrema M and a new score value S are calculated from the signals of three electrical leads and one magnetic lead of 23 healthy subjects, 23 patients with coronary heart disease (CHD) without reported event of ventricular tachycardia or fibrillation at the time of measurement, and eight patients with CHD who have suffered from malignant tachycardia. For the parameter M, the sensitivity and specificity for healthy subjects against patients with CHD and ventricular tachycardia for the magnetic lead (the best electric lead) are 100% (75%) and 100% (100%). For the magnetic lead (best electric lead) and parameter S, the sensitivity and specificity are 100% (75%) and 95.6% (100%).

Entities:  

Mesh:

Year:  1998        PMID: 10367463     DOI: 10.1007/bf02518875

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  11 in total

1.  Analysis of abnormal signals within the QRS complex of the high-resolution electrocardiogram.

Authors:  P Gomis; D L Jones; P Caminal; E J Berbari; P Lander
Journal:  IEEE Trans Biomed Eng       Date:  1997-08       Impact factor: 4.538

2.  Use of high-pass filtering to detect late potentials in the signal-averaged ECG.

Authors:  P Lander; E J Berbari
Journal:  J Electrocardiol       Date:  1989       Impact factor: 1.438

3.  Fractionated endocardial electrograms are associated with slow conduction in humans: evidence from pace-mapping.

Authors:  W G Stevenson; J N Weiss; I Wiener; S M Rivitz; K Nademanee; T Klitzner; L Yeatman; M Josephson; D Wohlgelernter
Journal:  J Am Coll Cardiol       Date:  1989-02       Impact factor: 24.094

4.  Wavelet analysis of high-resolution signal-averaged ECGs in postinfarction patients.

Authors:  D Morlet; F Peyrin; P Desseigne; P Touboul; P Rubel
Journal:  J Electrocardiol       Date:  1993-10       Impact factor: 1.438

5.  Recognition of noisy peaks in ECG waveforms.

Authors:  E Skordalakis
Journal:  Comput Biomed Res       Date:  1984-06

6.  Analysis of abnormal intra-QRS potentials. Improved predictive value for arrhythmic events with the signal-averaged electrocardiogram.

Authors:  P Lander; P Gomis; R Goyal; E J Berbari; P Caminal; R Lazzara; J S Steinberg
Journal:  Circulation       Date:  1997-03-18       Impact factor: 29.690

7.  Spatial differences of the duration of ventricular late fields in the signal-averaged magnetocardiogram in patients with ventricular late potentials.

Authors:  P Weismüller; P Richter; K Abraham-Fuchs; W Härer; S Schneider; M Höher; M Kochs; J Edrich; V Hombach
Journal:  Pacing Clin Electrophysiol       Date:  1993-01       Impact factor: 1.976

8.  Use of signals in the terminal QRS complex to identify patients with ventricular tachycardia after myocardial infarction.

Authors:  M B Simson
Journal:  Circulation       Date:  1981-08       Impact factor: 29.690

9.  Discrimination between myocardial infarct and ventricular tachycardia patients using magnetocardiographic trajectory plots and iso-integral maps.

Authors:  G Stroink; J Lant; P Elliott; P Charlebois; M J Gardner
Journal:  J Electrocardiol       Date:  1992-04       Impact factor: 1.438

10.  Critical analysis of the signal-averaged electrocardiogram. Improved identification of late potentials.

Authors:  P Lander; E J Berbari; C V Rajagopalan; P Vatterott; R Lazzara
Journal:  Circulation       Date:  1993-01       Impact factor: 29.690

View more
  1 in total

1.  Identification of post-myocardial infarction patients with ventricular tachycardia by time-domain intra-QRS analysis of signal-averaged electrocardiogram and magnetocardiogram.

Authors:  P Endt; J Montonen; M Mäkijärvi; J Nenonen; U Steinhoff; L Trahms; T Katila
Journal:  Med Biol Eng Comput       Date:  2000-11       Impact factor: 2.602

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.