Acceleration Spectrum Analysis: A Novel Quantitative Method for Frequency-Domain Analysis of the Signal-Averaged Electrocardiogram

Annals of Noninvasive Electrocardiology

Volumn 1, Issue 3, 1996, Pages 306-315

  Chan, Eric K Y ^a  

^a Arrhythmia Research Technology Inc   (United States)

Author keywords

Acceleration spectrum analysis; Conduction delay patients; Frequency domain analysis; Inducibility; Postmyocardial infarction; SAECG

Indexed keywords

EID: 0006591693     PISSN: 1082720X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1542-474X.1996.tb00284.x     Document Type: Article

References (22)

1. Simson MB. Use of signals in the terminal QRS complex to identify patients with ventricular tachycardia after myocardial infarction. Circulation 1981;64:235-242.
2. Simson MB, Hombach V, Hilger HH. Signal averaging. Circulation 1987;75(III):69-73.
3. Berbari EJ, Brachmann J, Scherlag BJ, et al. Recording late depolarization potentials in dogs: Correlation with ventricular arrhythmias. Chapter in: Signal Averaging Techniques in Clinical Cardiology. Stuttgart and New York, Verlag, 1981, pp. 163-176.
4. Bracewell RN. The Fourier Transform and its Applications (2nd Ed.). New York, McGraw Hill, 1978, pp. 117-118.
5. Breithardt G, Cain ME, El-Sherif N, et al. Standards for analysis of ventricular late potentials using high-resolution or signal-averaged electrocardiography: A statement by a task force committee of the European Society of Cardiology, the American Heart Association, and the American College of Cardiology. Circulation 1991;83:1481-1488.
6. Langner PH, Geselowitz DB. First derivative of the electrocardiogram. Circ Res 1962; 10:220-226.
7. Reynolds EW, Muller BF, Anderson GJ, et al. High-frequency components in the electrocardiogram. Circulation 1967;35:195-206.
8. Flowers NC, Horan LG, Thomas JR, et al. The anatomic basis of high frequency components in the electrocardiogram. Circulation 1969;39:531-539.
9. Flowers NC, Horan LG, Thomas JR, et al. Localization of the site of myocardial scarring in man by high-frequency components. Circulation 1969;40:927-994.
10. Franke EK, Braunstein JR, Zellner DC. Study of high-frequency components in electrocardiogram by power spectral analysis. Circ Res 1962; 10:870-879.
11. Berbari EJ, Albert DE, Lander P. Spectral estimation of the electrocardiogram. Ann NY Acad Sci 1990;601:197-208.
12. Goldberger AL, Bhargava V. Computerized measurement of the first derivative of the QRS complex: Theoretical and practical considerations. Computers and Biomed Res 1981; 14:464-471.
13. Cain ME, Ambos DE, Witkowski FX, et al. Fast-Fourier transform analysis of signal-averaged electrocardiograms for identification of patients prone to sustained ventricular tachycardia. Circulation 1984;69:711-720.
14. Cain ME, Ambos DE, Markham J, et al. Diagnostic implications of spectral and temporal analysis of the entire cardiac cycle in patients with ventricular tachycardia. Circulation 1991;83:1637-1648.
15. Haberl R, Jilge G, Pulter R, et al. Comparison of frequency- and time-domain analysis of the signal-averaged electrocardiograms in patients with ventricular tachycardia. J Am Coll Cardiol 1988; 12:150-158.
16. Nogami A, Iesaka Y, Akiyama J, et al. Combined use of time and frequency domain variables in signal-averaged ECG as a predictor of inducible sustained monomorphic ventricular tachycardia in myocardial infarction, Circulation 1992;86: 780-789.
17. Kelen GJ, Henkin R, Starr AM, et al. Spectral turbulence analysis of the signal-averaged electrocardiogram and its predictive accuracy for inducible sustained monomorphic ventricular tachycardia. Am J Cardiol 1991;67:965-975.
18. Chan EKY. Autoregressive estimation of closely-spaced spectra in the late potential region of the signal-averaged electrocardiogram as a function of segment width and ST slope. Proceedings IEEE Computers in Cardiology, Los Alamitos, Washington, Brussels and Tokyo, IEEE Computer Society Press, 1992, pp. 71-74.
19. Chan EKY. The acceleration spectrum: Intra-QRS micropotential analysis of the signal-averaged electrocardiogram. IEEE Transact Biomed Engin (In press).
20. Guidera SA, Steinberg JS. The signal-averaged P wave duration: A rapid and noninvasive marker of risk of atrial fibrillation. J Am Coll Cardiol 1993;21:1645-51.
21. Fukunami M, Yamada T, Ohmori M, et al. Detection of patients at risk for paroxysmal atrial fibrillation during sinus rhythm by P wave-triggered signal-averaged electrocardiogram. Circulation 1991;83:162-169.
22. Yamada T, Fukunami M, Ohmori M. Characteristics of frequency content of atrial signal-averaged electrocardiograms during sinus rhythm in patients with paroxysmal atrial fibrillation. J Am Coll Cardiol 1992; 19:559-563.