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Improving countershock success prediction during cardiopulmonary resuscitation using ventricular fibrillation
Andreas Neurauter1, Trygve Eftestøl, Jo Kramer-Johansen
1Department of Anaesthesiology and Critical Care Medicine, Innsbruck Medical University, Innsbruck, Austria.
Insights
Analyzing higher frequency bands of ventricular fibrillation (VF) signals improves countershock prediction accuracy during cardiopulmonary resuscitation (CPR). This method reduces interruptions in CPR, enhancing patient care during cardiac arrest.
Area of Science:
- Cardiology
- Biomedical Engineering
- Critical Care Medicine
Background:
- Accurate prediction of countershock outcomes during ventricular fibrillation (VF) requires clean electrocardiogram (ECG) signals, necessitating interruptions in cardiopulmonary resuscitation (CPR).
- Ventricular fibrillation (VF) features from higher frequency bands may be less susceptible to CPR-induced artifacts, potentially minimizing CPR downtime.
Purpose of the Study:
- To evaluate the impact of analyzing higher frequency bands of VF ECG signals on the accuracy of countershock outcome prediction.
- To determine if using filtered ECG features from higher frequency bands can reduce discrepancies caused by CPR artifacts.
Main Methods:
- Analyzed four countershock outcome prediction features (peak-peak amplitude, mean slope, median slope, power spectrum analysis) from 550 ECG records of 192 cardiac arrest patients.
- Compared ECG features from the main frequency band (0-26Hz) with those from bandpass-filtered subbands (>10-26Hz) using similarity levels and shock advice differences.
Main Results:
- Feature similarity between ECG periods with and without CPR artifacts was significantly higher for bandpass-filtered signals (Sim=0.79-0.8) compared to unfiltered signals (Sim=0.58-0.69).
- The difference in shock advice numbers between CPR-corrupted and undisturbed ECG traces was substantially reduced when using VF analysis from higher frequency bands.
Conclusions:
- Filtered ECG features from higher frequency subbands enhance the accuracy of shock outcome prediction during CPR.
- Utilizing higher frequency ECG subbands offers a more reliable method for countershock outcome prediction compared to features from the main ECG spectrum.
Background:
Countershock outcome prediction using ventricular fibrillation (VF) feature analysis needs undisturbed electrocardiogram (ECG) signals and therefore requires interruption of cardiopulmonary resuscitation (CPR). Features that originate from higher frequency bands of the VF power spectrum may be less affected by CPR artefacts and as such reduce cumulative hands-off intervals.
Materials And Methods:
From 192 patients with in-hospital and out-of-hospital cardiac arrest, four countershock outcome prediction features (peak-peak amplitude, mean slope, median slope, power spectrum analysis) were analysed in 550 short time ECG records, each including a CPR corrupted and a subsequent undisturbed sequence. ECG features calculated from the main frequency band (0-26Hz) and from bandpass-filtered subbands (>10-26Hz) were compared using the similarity level method and differences in shock advice numbers.
Results:
The feature similarity between ECG periods with and without CPR artefacts was higher in bandpass-filtered (Sim=0.79, 0.8, 0.78, 0.66) than in unfiltered ECG traces (Sim=0.58, 0.69, 0.68, 0.47). For the features evaluated, the difference in number of shock advices between subsequent traces with and without CPR artefact was significantly reduced using VF analysis from higher frequency bands.
Conclusion:
The accuracy of shock outcome prediction during CPR could be increased by using filtered ECG features from higher ECG subbands instead of features derived from the main ECG spectrum.
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