Abstract 274: Filter Out the Chest Compression Signal Interference During Ventricular Fibrillation by Signal Processing
Background: Ventricular fibrillation (VF) is the major cause of sudden cardiac death. The most effective way to stop VF is to defibrillate. However, current automated external defibrillator does not allow chest compression when doing electrogram analysis. Many studies have shown that the mortality rate of VF increased rapidly when the “hands-off” intervals lengthen. The goal of the present project is to develop a new method to filter the chest compression signals in ECG and to reduce the “hands-off” time.
Methods: We induced VF in rat and the precordial compression was performed with a pneumatically driven mechanical chest compressor at different frequency (150cpm, 200cpm, 300cpm) for 30 seconds after 30 seconds of VF. The ECG signals were processed with empirical mode decomposition and comb filter to filter out the chest compression signals. We then calculated the spectrogram to prove the effect of the filter and the amplitude spectrum analysis (AMSA) to demonstrate the time evolution of VF during and after chest compression.
Results: A total of 6 rats in each group were studied. From the spectrogram, we found that the chest compression signals were effectively removed after signal processing. Moreover, the AMSA significantly increased in VF group with chest compression at rate 150cpm. When stopping chest compression, the AMSA rapidly decreased in all groups.
Conclusions: The chest compressions signals in ECG can be effectively filtered out from VF by the combination of EMD and comb filter.
- © 2011 by American Heart Association, Inc.