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Ventricular Fibrillation Waveform Analysis during Cardiopulmonary Resuscitation

  • YONGQIN LI1
  • WANCHUN TANG1

1,Weil Institute of Critical Care Medicine Keck School of Medicine of The University of Southern California

DOI: 10.22514/SV51.092010.14 Vol.5,Issue S1,September 2010 pp.63-65

Published: 07 September 2010

*Corresponding Author(s): WANCHUN TANG E-mail: drsheart@aol.com

Abstract

Ventricular fibrillation (VF) is the primary rhythm associated with cardiac arrest characterized as rapid, disorganized contrac-tions of the heart with complex electrocardiogram (ECG) patterns. Recent studies have reported that performing cardiopul-monary resuscitation (CPR) procedure prior to shock increases the survival rate especially especially when VF is untreated for more than 5 minutes. The waveform analysis is objective help in the choice of the right therapy (shock parameters, shock first or CPR first, drug administration). This analysis is a precondition of individually optimized defibrillation and contribute substantially to an increased quality of CPR and reduce delivery of failed rescue shock. Animal and clinical studies con-firmed that ventricular fibrillation waveform analysis contains information to reliably predict the countershock success rate and further improved countershock outcome prediction.

Keywords

cardiac arrest, ventricu-lar fibrillation, waveform analysis, prediction defibrillation success, effectiveness of chest compression, uninterrupted cardiopulmonary resuscitation

Cite and Share

YONGQIN LI,WANCHUN TANG. Ventricular Fibrillation Waveform Analysis during Cardiopulmonary Resuscitation. Signa Vitae. 2010. 5(S1);63-65.

References

1. Wiggers CJ. The mechanism and nature of ventricular fibrillation. Am Heart J 1940;?:359-420.

2. Cobb LA, Fahrenbruch CE, Walsh TR, et al. Influence of cardiopulmonary resuscitation prior to defibrillation in patients with out-of-hospital ventricular fibrillation. J Am Med Assoc 1999;281:1182-8.

3. Reed MJ, Clegg GR, Robertson CE. Analyzing the ventricular fibrillation waveform. Resuscitation 2003;57:11-20.

4. Jekova I. Comparison of five algorithms for the detection of ventricular fibrillation from the surface ECG. Physiol Meas 2000;21:429–39.

5. Sarvestani RR, Boostani R, Roopaei M. VT and VF classification using trajectory analysis. Nonlinear Analysis 2009;71:e55-e61.

6. Arafat MA, Sieed J, Hasan K. Detection of ventricular fibrillation using empirical mode decomposition and Bayes decision theory. Comput Bio Med 2009;39:1051-7.

7. Jekova I. Shock advisory tool: Detection of life-threatening cardiac arrhythmias and shock success prediction by means of a common parameter set. Biomed Signal Process Control 2007;2:25-33.

8. Reed MJ, Clegg GR, Robertson CE. Analysing the ventricular fibrillation waveform. Resuscitation 2003;57:11–20.

9. Callaway CW, Menegazzi JJ. Waveform analysis of ventricular fibrillation to predict defibrillation. Curr Opin Crit Care 2005;11:192–9.

10. Watson JN, Uchaipichat N, Addison P, Clegg GR, Robertson CE, Eftestol T, et al. Improved prediction of defibrillation success for out-of-hospital VF cardiac arrest using wavelet transform methods. Resuscitation 2004;63:269–75.

11. Callaway CW, Sherman LD, Mosesso VN Jr, Dietrich TJ, Holt E, Clarkson MC. Scaling exponent predicts defibrillation success for out-of-hospital ventricular fibrillation cardiac arrest. Circulation 2001;103:1656-61.

12. Neurater A, Eftestol T, Kramer-Johansen J, Abella BS, Sunde K, Wenzel V, et al. Prediction of countershock success using single features form multiple ventricular fibrillation frequency bands and feature combinations using neural networks. Resuscitation 2007;73:253-63.

13. Indik JH, Shanmugasundaram M, Allen D, Valles A, Kern KB, Hilwig RW, et al. Predictors of resuscitation outcome in a swine model of VF cardiac arrest: A comparison of VF duration, presence of acute myocardial infarction and VF waveform. Resuscitation 2009;80(12):1420-3.

14. Olasveengen TM, Eftestol T, Gundersen K, Wik L, Sunde K. Acute ischemic heart disease alters ventricular fibrillation waveform character-istics in out-of hospital cardiac arrest. Resuscitation 2009;80(4):412-7.

15. Bohn A, Gude P. Feedback during cardiopulmonary resuscitation. Curr Opin Anaesthesiol 2008;21(2):200-3.

16. Morley PT. Monitoring the quality of cardiopulmonary resuscitation. Curr Opin Crit Care 2007;13(3):261-7.

17. Gundersen K, Nysaether J, Kvaløy JT, Kramer-Johansen J, Eftestøl T. Chest compression quality variables influencing the temporal devel-opment of ROSC-predictors calculated from the ECG during VF. Resuscitation 2009;80(2):177-82.

18. Eftestøl T, Sunde K, Aase SO, Husøy JH, Steen PA. ‘Probability of successful defibrillation’ as a monitor during CPR in out-of-hospital cardiac arrested patients. Resuscitation 2001;48:245–54.

19. Li Y, Ristagno G, Bisera J, Tang W, Deng Q, Weil MH. Electrocardiogram waveforms for monitoring effectiveness of chest compression during cardiopulmonary resuscitation. Crit Care Med 2008;36(1):211-5.

20. Li Y, Tang W. Techniques for artefact filtering from chest compression corrupted ECG signals: Good, but not enough. Resuscitation 2009;80:1219-20.

21. Tan Q, Freeman G, Geheb F, Bisera J. Electrocardiographic analysis during uninterrupted cardiopulmonary resuscitation. Crit Care Med 2008;36(11): S409-S12.

22. Eilevstjonn J, Eftestol T, Aase SO, Myklebust H, Husøy JH, Steen PA. Feasibility of shock advice analysis during CPR through removal of CPR artefacts from the human ECG. Resuscitation 2004;61(2):131-41.

23. Werther T, Klotz A, Kracher G, Baubin M, Feichtinger HG, Gilly H, et al. CPR artifact removal in ventricular fibrillation ECG signals using Gabor multipliers. IEEE Trans Biomed Eng 2009;56(2):320-7.

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