© 2003 by European Society of Cardiology
A new algorithm for rhythm discrimination in cardioverter defibrillators based on the initial voltage changes of the ventricular electrogram
1Department of Signal Theory and Communications, Universidad Carlos III de Madrid 28.911 Leganés, Madrid, Spain; 2Department of Cardiology, University Hospital Gregorio Marañóm 28.007 Madrid, Spain; 3Department of Cardiology, University Hospital Virgen de la Arrixaca 30.150 Murcia, Spain
AIMS: Ventricular activation onset is faster in supraventricular beats than in ventricular rhythms. The aim of this study was to evaluate a criterion to differentiate supraventricular (SVT) from ventricular tachycardia (VT) based on the analysis of the initial voltage changes in ICD-stored morphology electrograms.
METHODS: Far field ICD-stored EGMs were obtained from 68 VT and 38 SVT episodes in 16 patients. The first EGM peak was detected, three consecutive time epochs were defined within the preceding 80 ms window and the voltage changes with respect to a sinus template were analysed during each time period and combined into a single parameter for rhythm discrimination.
RESULTS: The algorithm was tested in an independent validation group of 442 VT and 97 SVT spontaneous episodes obtained from 22 patients with a dual chamber ICD. The area under the receiver-operator characteristics (ROC) curve indicated that the arrhythmia separability with this method was 0.95 (tolerance interval: 0.85-0.99) and 0.98 (0.87-0.99) for the control and validation groups respectively. A specificity of 0.91 was obtained at 95% sensitivity in the validation group.
CONCLUSION: The analysis of voltage changes during the initial ventricular activation process is feasible using the far field stored electrograms of an ICD system and yields a high sensitivity and specificity for arrhythmia discrimination.
Key Words: Implantable cardioverter defibrillator, supraventricular tachycardia, ventricular tachycardia, electrogram morphology, tachyarrhythmia detection algorithms
Correspondence: Dr Arcadi Garc
a Alberola, Plaza del Roble 36, 30150 La Alberca, Murcia, Spain. Tel.: +34 968 369 211; Fax: +34 968 369 558; E-mail: algamur{at}teleline.es