Title :
Modeling QRS Complex in dECG
Author :
Kamath, Chandrakar ; Ananthapadmanabhayuyu, T.V.
Author_Institution :
Manipal Inst. of Technol.
Abstract :
It is proposed to model the derivative of electrocardiogram (ECG) signal, which we refer to as dECG, instead of the ECG signal. It is shown that the QRS complex in the dECG signal can be represented in the frequency domain by an all-pole model of appropriate order, the coefficients of the model being determined using the covariance method of linear prediction applied over an analysis interval that includes the QRS complex and that is centered about the R-peak. Modeling of dECG, instead of ECG, gives a better spectral representation of the QRS complex
Keywords :
covariance analysis; electrocardiography; frequency-domain analysis; physiological models; prediction theory; QRS complex; covariance method; dECG; electrocardiogram; frequency domain; linear prediction; prediction theory; Autocorrelation; Cardiac disease; Cardiology; Cardiovascular diseases; Electrocardiography; Frequency domain analysis; Predictive models; Signal analysis; Speech analysis; Speech processing; Covariance method; ECG; dECG; Algorithms; Computer Simulation; Diagnosis, Computer-Assisted; Electrocardiography; Heart; Humans; Models, Cardiovascular;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2006.883828
