The cancellation of ventricular activity (VA) from atrial electrogram (AEG) is commonly performed by template matching and subtraction (TMS): a running template, built by adaptive averaging of AEG segments in correspondence of QRS, is subtracted from AEG to uncover atrial activity (AA). In our approach, before subtraction, templates are modulated by a set of coefficients which are estimated by maximizing, via Multiple Particle Swarm Optimization (MPSO), a fitness function based on: 1) the energy of the estimated and measured AA; 2) the first derivative of the estimated and measured AA; 3) the similarity between the template and its modulated version. To validate the method, three datasets of 500 synthetic AEG were built. Each signal included background AA, localized AA and VA. We observed that TMS+MPSO provided better performances then TMS alone when the ratio of VA/AA amplitude is large (VA/AA ≥ 3), while the performances get closer when the ratio decreases.
Cancellation of ventricular activity in endocavitary recordings during atrial fibrillation by Particle Swarm Optimization / L.T. Mainardi, M. Rivolta, R. Scanziani, V. Corino, R. Sassi - In: Computing in Cardiology, 2011[s.l] : IEEE, 2011. - ISBN 9781457706127. - pp. 597-600 (( Intervento presentato al 38. convegno CinC tenutosi a Hangzhou nel 2011.
Cancellation of ventricular activity in endocavitary recordings during atrial fibrillation by Particle Swarm Optimization
M. RivoltaSecondo
;R. SassiUltimo
2011
Abstract
The cancellation of ventricular activity (VA) from atrial electrogram (AEG) is commonly performed by template matching and subtraction (TMS): a running template, built by adaptive averaging of AEG segments in correspondence of QRS, is subtracted from AEG to uncover atrial activity (AA). In our approach, before subtraction, templates are modulated by a set of coefficients which are estimated by maximizing, via Multiple Particle Swarm Optimization (MPSO), a fitness function based on: 1) the energy of the estimated and measured AA; 2) the first derivative of the estimated and measured AA; 3) the similarity between the template and its modulated version. To validate the method, three datasets of 500 synthetic AEG were built. Each signal included background AA, localized AA and VA. We observed that TMS+MPSO provided better performances then TMS alone when the ratio of VA/AA amplitude is large (VA/AA ≥ 3), while the performances get closer when the ratio decreases.File | Dimensione | Formato | |
---|---|---|---|
[25]_CinC_2011_Hangzhou.pdf
accesso aperto
Tipologia:
Publisher's version/PDF
Dimensione
248.39 kB
Formato
Adobe PDF
|
248.39 kB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.