Computer methods for analysing the high-frequency electrocardiogram
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The high-frequency electrocardiogram (e.c.g.) is similar to the clinical e.c.g. commonly interpreted by clinicians except that a wider recording bandwidth is used. This extended signal bandwidth permits more information about the cardiac electrical activity to be perceived than can be seen in a clinical e.c.g. The high-frequency data appear as waveform features called notches and slurs. The notches have been correlated with coronary heart disease by several investigators. Most of the work in high-frequency electrocardiography has been done by manual techniques with minimal automation of the signal analysis. The purpose of this project was to develop computer algorithms for the automatic recognition and characterisation of notch parameters. Investigations in this study were conducted in both the time and frequency domains using digital filtering and fast Fourier transform techniques. Methods for notch recognition and quantification by computers were evaluated.
KeywordsComputer pattern recognition High-fidelity e.c.g. High-frequency e.c.g. Wideband e.c.g.
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- Bickford, G. R., Billinger, T. W., Fleming, N. I. andStewart, L. (1972) The compressed spectral array (CSA)—A pictorial EEG. Proceedings of the San Diego Biomedical Symposium.Google Scholar
- Chang, S. (1970) Small computer analysis of wide band electrocardiograms. M.Sc. Thesis, University of Pennsylvania.Google Scholar
- Durrer, D. (1966) The human heart: Some aspects of its excitation.Trans. and Studies of the College of Physicians of Philadelphia,33, 159Google Scholar
- Flowers, N. C., Horan, L. G., Thomas, J. R. andTolleson, W. J. (1969) The anatomic basis for high frequency components in the electrocardiogram.Circulation,39, 531–539.Google Scholar
- Franke, E. K. andBraunstein, J. R. (1958) Power spectrum analysis of the high frequency electro-cardiogram. Biophysical Society Meeting, Boston.Google Scholar
- Franke, E. K., Braunstein, J. R. andZellner, D. C. (1962) Study of high frequency components in the electrocardiogram by power spectrum analysis.Circulation Res.,10, 870–879.Google Scholar
- Hagerty, J. H. (1976) A theoretical model for the estimation of myocardial infarct locations using wide band electrocardiographic data. Ph.D. Thesis, University of Pennsylvania.Google Scholar
- Langner, P. H. Jnr. (1952) The value of high fidelity electrocardiography using the cathode ray oscillograph and an expanded time scale.Circulation,5, 249–256.Google Scholar
- Langner, P. H., Jnr. (1953b) Further studies in high fidelity electrocardiography: Myocardial infarction,Circulation,8, 905–913.Google Scholar
- Langner, P. H., Jnr. andGeselowitz, D. B. (1960) Characteristics of the frequency spectrum in the normal electrocardiogram and in subjects following myocardial infarction.Circulation Res.,8, 577–584.Google Scholar
- Langner, P. H., Jnr. andGeselowitz, D. B. (1962) First derivative of the electrocardiogram.Circulation Res.,10, 220–226.Google Scholar
- Reynolds, E. W., Muller, B. F., Anderson, G. J. andMuller, B. T. (1967) High frequency components in the electrocardiogram: Comparative study of normals and patients with myocardial disease.Circulation,35, 195–206.Google Scholar
- Sapoznikov, D. andWeinman, J. (1975) Computer simulation of notches in the high frequency electrocardiogram and an interpretation of their origin.Medical and Biological Engineering,13, 825–830.Google Scholar
- Uhrich, M. L. (1969) Fast Fourier transforms without sorting,IEEE Trans.,AE-70, 170–172.Google Scholar