Key result
Ventricular fibrillation waveform analysis assesses myocardial state to predict defibrillation success.
Why the study?
Techniques have been developed over recent decades to analyse the surface electrocardiogram during ventricular fibrillation to assess the state of the myocardium and the likelihood of successful defibrillation.
This review discusses various mathematical and signal-processing techniques used to analyze the ventricular fibrillation ECG waveform to assess myocardial status and predict defibrillation success.
VF waveform analysis may inform resuscitation decisions; leaves open prospective validation of diagnostic performance.
The surface electrocardiogram associated with ventricular fibrillation has been of interest to researchers for some time. Over the last few decades, techniques have been developed to analyse this signal in an attempt to obtain more information about the state of the myocardium and the chances of successful defibrillation. This review looks at the implications of analysing the VF waveform and discusses the various techniques that have been used, including fast Fourier transform analysis, wavelet transform analysis and mathematical techniques such as chaos theory.
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Reed et al. (2003) conducted a review in Ventricular fibrillation. Ventricular fibrillation waveform analysis (fast Fourier transform, wavelet transform, chaos theory) was evaluated on State of the myocardium and chances of successful defibrillation. Ventricular fibrillation waveform analysis using fast Fourier transform, wavelet transform, and chaos theory aims to assess myocardial state and predict successful defibrillation.
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