CPR Artifact Removal in Ventricular Fibrillation ECG Signals Using Gabor Multipliers

T. Werther, A. Klotz, G. Kracher, M. Baubin, H.G. Feichtinger, H. Gilly, A. Amann
2009 IEEE Transactions on Biomedical Engineering  
and objective: We present an algorithm for discarding cardiopulmonary resuscitation (CPR) components from ventricular fibrillation ECG (VF ECG) signals and establish a method for comparing CPR attenuation on a common dataset. Removing motion artifacts in ECG allows for uninterrupted rhythm analysis and reduces "hands-off" time during resuscitation. Methods and results: The current approach assumes a multichannel setting where the information of the corrupted ECG is combined with an additional
more » ... ith an additional pressure signal in order to estimate the motion artifacts. The underlying algorithm relies on a localized time-frequency transformation, the Gabor transform, that reveals the perturbation components, which, in turn, can be attenuated. The performance of the method is evaluated on a small set of test signals in the form of error analysis and compared to two well-established CPR removal algorithms that use an adaptive filtering system and a state-space model, respectively. Conclusion: We primarily point out the potential of the algorithm for successful artifact removal; however, on account of the limited set of human VF and animal asystole CPR signals, we refrain from a statistical analysis of the efficiency of CPR attenuation. The results encourage further investigations in both the theoretical and the clinical setup. Index Terms-Adaptive filtering, artifact removal, biomedical signal processing, cardiopulmonary resuscitation (CPR), electrocardiography, time-frequency analysis, ventricular fibrillation (VF).
doi:10.1109/tbme.2008.2003107 pmid:19342329 fatcat:auzza76c2rberhyqbugu6gapxu