Modeling QRS Complex in dECG

Author

Kamath, Chandrakar ; Ananthapadmanabhayuyu, T.V.

Author_Institution

Manipal Inst. of Technol.

Volume

54

Issue

1

fYear

2007

Firstpage

156

Lastpage

158

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;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/TBME.2006.883828

Filename

4034035