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Abstract 241: Pre- and Postshock Electrogram Features in Human VF and the Occurrence of Refibrillation

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Background: During cardiac resuscitation, recurrence of VF (or refibrillation) is a common problem that could affect the survival rates. Predicting the occurrence of refibrillation by analyzing the pre-shock/post-shock waveform would enable the EMS personnel to administer anti-arrhythmic drugs that could prevent refibrillation and could help in optimizing resuscitation outcomes. Objective: To evaluate wavelet based features extracted from pre-shock waveform and QT interval measurements from post-shock waveform in predicting refibrillation. Method: The human VF database used in this study consisted of 14 successful, 7 refibrillation, and 13 unsuccessful out-of-the-hospital VF tracings extracted from the Zoll defibrillators recorded by the Toronto area EMS personnel. For the wavelet analysis (continuous wavelet transform) we used the 10s pre-shock waveforms from all the 34 cases that were not corrupted by the CPR artifacts. Wavelet features that indirectly measure signal (i.e., electrogr

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Background: During cardiac resuscitation, recurrence of VF (or refibrillation) is a common problem that could affect the survival rates. Predicting the occurrence of refibrillation by analyzing the pre-shock/post-shock waveform would enable the EMS personnel to administer anti-arrhythmic drugs that could prevent refibrillation and could help in optimizing resuscitation outcomes. Objective: To evaluate wavelet based features extracted from pre-shock waveform and QT interval measurements from post-shock waveform in predicting refibrillation. Method: The human VF database used in this study consisted of 14 successful, 7 refibrillation, and 13 unsuccessful out-of-the-hospital VF tracings extracted from the Zoll defibrillators recorded by the Toronto area EMS personnel. For the wavelet analysis (continuous wavelet transform) we used the 10s pre-shock waveforms from all the 34 cases that were not corrupted by the CPR artifacts. Wavelet features that indirectly measure signal (i.e., electrogr

Keywords

MedicineCardiologyInternal medicine

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