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.
| Original language | English |
|---|---|
| Article number | 21 |
| Pages (from-to) | 156-158 |
| Number of pages | 3 |
| Journal | IEEE Transactions on Biomedical Engineering |
| Volume | 54 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 01-01-2007 |
| Externally published | Yes |
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All Science Journal Classification (ASJC) codes
- Biomedical Engineering
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Modeling QRS complex in dECG. / Kamath, Chandrakar; Ananthapadmanabhayuyu, T. V.
In: IEEE Transactions on Biomedical Engineering, Vol. 54, No. 1, 21, 01.01.2007, p. 156-158.Research output: Contribution to journal › Article
TY - JOUR
T1 - Modeling QRS complex in dECG
AU - Kamath, Chandrakar
AU - Ananthapadmanabhayuyu, T. V.
PY - 2007/1/1
Y1 - 2007/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=33846357401&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33846357401&partnerID=8YFLogxK
U2 - 10.1109/TBME.2006.883828
DO - 10.1109/TBME.2006.883828
M3 - Article
VL - 54
SP - 156
EP - 158
JO - IEEE Transactions on Biomedical Engineering
JF - IEEE Transactions on Biomedical Engineering
SN - 0018-9294
IS - 1
M1 - 21
ER -