A novel approach to pattern recognition in real-time arrhythmia detection
- 1 January 1988
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 7-8 vol.1
- https://doi.org/10.1109/iembs.1988.94376
Abstract
A description is given of an attempt to find an effective method to detect an arrhythmia in a real-time processing environment. In place of the conventional techniques of template-matching feature extraction used in automated arrhythmia detection, autocorrelation techniques are used. This approach makes use of the fast Hartley transform to calculate the autospectrum between two waveforms. By comparing only 10 samples of the discrete autospectrum, it is possible to compare effectively 256 samples which scan the whole of an ECG (electrocardiogram) cycle.Keywords
This publication has 2 references indexed in Scilit:
- The fast Hartley transformProceedings of the IEEE, 1984
- Discrete Hartley transformJournal of the Optical Society of America, 1983