Estimation of spectral parameters of residual ECG signal during atrial fibrillation using autoregressive models
Articolo
Data di Pubblicazione:
2005
Citazione:
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).
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.
Tipologia IRIS:
01 - Articolo su periodico
Elenco autori:
R. Sassi, L.T. Mainardi, P. Maison Blanche, S. Cerutti
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