Computer methods for analysing the high-frequency electrocardiogram
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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