Article Data

  • Views 117
  • Dowloads 0


Open Access

Ventricular Fibrillation Waveform Analysis during Cardiopulmonary Resuscitation


1Weil 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:

PDF (44.01 kB)


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.

Key words

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.


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.

Abstracted / indexed in

Science Citation Index Expanded (SciSearch) The Science Citation Index (SCI) is a citation index originally produced by the Institute for Scientific Information (ISI) and created by Eugene Garfield. It (Science Citation Index Expanded) covers more than 8,500 notable and significant journals, across 150 disciplines in science and technology, from 1900 to the present.

Journal Citation Reports/Science Edition Journal Citation Reports/Science Edition aims to evaluate a journal’s value from multiple perspectives including the journal impact factor, descriptive data about a journal’s open access content as well as contributing authors, and provide readers a transparent and publisher-neutral data & statistics information about the journal.

Chemical Abstracts Service Source Index The CAS Source Index (CASSI) Search Tool is an online resource that can quickly identify or confirm journal titles and abbreviations for publications indexed by CAS since 1907, including serial and non-serial scientific and technical publications.

IndexCopernicus The Index Copernicus International (ICI) Journals database’s is an international indexation database of scientific journals. It covered international scientific journals which divided into general information, contents of individual issues, detailed bibliography (references) sections for every publication, as well as full texts of publications in the form of attached files (optional). For now, there are more than 58,000 scientific journals registered at ICI.

Geneva Foundation for Medical Education and Research The Geneva Foundation for Medical Education and Research (GFMER) is a non-profit organization established in 2002 and it works in close collaboration with the World Health Organization (WHO). The overall objectives of the Foundation are to promote and develop health education and research programs.

Scopus Scopus is Elsevier's abstract and citation database launched in 2004. Scopus covers nearly 36,377 titles (22,794 active titles and 13,583 Inactive titles) from approximately 11,678 publishers, of which 34,346 are peer-reviewed journals in top-level subject fields: life sciences, social sciences, physical sciences and health sciences.

Embase Embase (often styled EMBASE for Excerpta Medica dataBASE), produced by Elsevier, is a biomedical and pharmacological database of published literature designed to support information managers and pharmacovigilance in complying with the regulatory requirements of a licensed drug.

Submission Turnaround Time