The application of AutoRegressive (AR) models to extract spectral parameters from residual ECG (rECG) signals is exploited. In particular, a new method based on AR spectra is employed to estimate the dominant atrial cycle length (DACL) on ECG obtained from patients undergoing episodes of atrial fibrillation (AF). The traditional FFT-based spectral approach will be compared with the new method. Potentialities and possible superior performances of AR spectra are documented and discussed.
Estimation of spectral parameters of residual ECG signal during atrial fibrillation using autoregressive models / R. Sassi, L.T. Mainardi, P. Maison Blanche, S. Cerutti. - In: FOLIA CARDIOLOGICA. - ISSN 1507-4145. - 12:suppl. C(2005), pp. 108-110. (Intervento presentato al 32. convegno Congress Proceedings of the The 11th Congress of the International Society for Holter and Noninvasive Electrocardiology & 32nd Congress of the International Society of Electrocardiology tenutosi a Gdansk nel 2005).
Estimation of spectral parameters of residual ECG signal during atrial fibrillation using autoregressive models
R. SassiPrimo
;
2005
Abstract
The application of AutoRegressive (AR) models to extract spectral parameters from residual ECG (rECG) signals is exploited. In particular, a new method based on AR spectra is employed to estimate the dominant atrial cycle length (DACL) on ECG obtained from patients undergoing episodes of atrial fibrillation (AF). The traditional FFT-based spectral approach will be compared with the new method. Potentialities and possible superior performances of AR spectra are documented and discussed.
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