Literature DB >> 6697459

Fast-Fourier transform analysis of signal-averaged electrocardiograms for identification of patients prone to sustained ventricular tachycardia.

M E Cain, H D Ambos, F X Witkowski, B E Sobel.   

Abstract

Electrocardiograms obtained from patients during arrhythmia-free intervals do not identify those prone to sustained ventricular tachycardia (VT) despite the occult delayed activation that is presumably present. To determine whether frequency-domain analysis facilitates detection of this hallmark of predisposition to VT, fast-Fourier transform analysis (FFTA) procedures were developed and tested with a computer-generated mathematical model. The FFTA approach developed allows inherent limitations of high-gain amplification and a priori filtering used commonly for time-domain analysis to be avoided. After demonstrating that FFTA detected low-amplitude oscillatory waveforms in signal-averaged recordings in the frequency domain, the procedure was applied to signal-averaged X, Y, and Z lead recordings from the following three groups of patients: group I, patients with prior myocardial infarction and episodic sustained VT (n = 16); group II, patients with prior myocardial infarction without overt sustained VT (n = 35); and group III, normal control subjects (n = 10). Results of FFTA demonstrated significant (p less than .0001) differences in the decibel drop at 40 Hz and the area under the curve from the fundamental frequency to the frequency at which the spectral amplitude was decreased by 60 dB for both the terminal 40 msec of the QRS and ST segment in patients in group I compared with those in groups II and III, in whom results were similar. Results were independent of QRS duration (r = .2), left ventricular ejection fraction (r = .19), and complexity of spontaneous ventricular ectopy. Thus, patients known to manifest sustained VT also exhibited relatively greater high-frequency content in arrhythmia-free intervals in the terminal QRS and ST segment than those without VT (88%, 15%, and 0% in groups I through III, respectively). FFTA offers promise for the noninvasive detection of patients at risk for the development of sustained VT.

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Year:  1984        PMID: 6697459     DOI: 10.1161/01.cir.69.4.711

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  14 in total

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Authors:  R Haberl; G Steinbeck
Journal:  Klin Wochenschr       Date:  1990-08-02

2.  Power spectra prognostic aspects of impulsive eye movement traces in superior vestibular neuritis.

Authors:  Alessandro Micarelli; Andrea Viziano; Massimo Panella; Elisa Micarelli; Marco Alessandrini
Journal:  Med Biol Eng Comput       Date:  2019-05-04       Impact factor: 2.602

3.  Automatic optimum order selection of parametric modelling for the evaluation of abnormal intra-QRS signals in signal-averaged electrocardiograms.

Authors:  C C Lin; C M Chen; I F Yang; T F Yang
Journal:  Med Biol Eng Comput       Date:  2005-03       Impact factor: 2.602

4.  Risk evaluation of ventricular tachycardia using wavelet transform irregularity of the high-resolution electrocardiogram.

Authors:  P Lewandowski; O Meste; R Maniewski; T Mroczka; K Steinbach; H Rix
Journal:  Med Biol Eng Comput       Date:  2000-11       Impact factor: 2.602

Review 5.  Electrocardiologic and related methods of non-invasive detection and risk stratification in myocardial ischemia: state of the art and perspectives.

Authors:  Thomas Huebner; Matthias Goernig; Michael Schuepbach; Ernst Sanz; Roland Pilgram; Andrea Seeck; Andreas Voss
Journal:  Ger Med Sci       Date:  2010-10-11

6.  Detection of late potentials in the signal-averaged ECG combining time and frequency domain analysis.

Authors:  B I Gramatikov
Journal:  Med Biol Eng Comput       Date:  1993-07       Impact factor: 2.602

7.  Suitable analyzed signal duration and criteria for abnormal signal-averaged electrocardiogram on frequency-domain analysis in patients with Duchenne's muscular dystrophy.

Authors:  M Kubo; S Matsuoka; Y Kuroda
Journal:  Pediatr Cardiol       Date:  1996 Mar-Apr       Impact factor: 1.655

Review 8.  Detection of the fingerprint of the electrophysiological abnormalities that increase vulnerability to life-threatening ventricular arrhythmias.

Authors:  Michael E Cain; R Martin Arthur; Jason W Trobaugh
Journal:  J Interv Card Electrophysiol       Date:  2003-10       Impact factor: 1.900

9.  Frequency domain analysis of highly amplified ECG on the basis of maximum entropy spectral estimation.

Authors:  A Voss; J Kurths; H Fiehring
Journal:  Med Biol Eng Comput       Date:  1992-05       Impact factor: 2.602

10.  [Magnetcardiographic detection of abnormal intraventricular activation in patients with ischemic heart disease with and without tachycardia].

Authors:  M Oeff; P Gödde; R Agrawal; P Endt; L Trahms; H P Schultheiss
Journal:  Herzschrittmacherther Elektrophysiol       Date:  1997-09
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