Arrhythmia Detection Coefficient based on Wavelet Shrinkage
Abstract
Electrocardiography (ECG) is the process of recording the electrical activity of the heart over a period of time using electrodes placed on the skin. The time intervals between its various peaks, may contain useful information about the nature of disease afflicting the heart. In the last years, different methods have been used by the researchers to detect arrhythmias from electrocardiogram (ECG) signal. In this paper we propose an arrhythmia detection coefficient based on the coefficient of variation and on the principle of wavelet shrinkage. This coefficient is tested in RR time series from databases of the PhysioBank.
Full Text: PDF DOI: 10.15640/arms.v6n2a3
Abstract
Electrocardiography (ECG) is the process of recording the electrical activity of the heart over a period of time using electrodes placed on the skin. The time intervals between its various peaks, may contain useful information about the nature of disease afflicting the heart. In the last years, different methods have been used by the researchers to detect arrhythmias from electrocardiogram (ECG) signal. In this paper we propose an arrhythmia detection coefficient based on the coefficient of variation and on the principle of wavelet shrinkage. This coefficient is tested in RR time series from databases of the PhysioBank.
Full Text: PDF DOI: 10.15640/arms.v6n2a3
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