Waveform analysis of ventricular fibrillation to predict defibrillation

Current Opinion in Critical Care

Volumn 11, Issue 3, 2005, Pages 192-199

  Callaway, Clifton W ^a,b   Menegazzi, James J ^a  

^a UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^b Department of Emergency Medicine ^*  (United States)

Author keywords

Cardiac arrest; Ventricular fibrillation; Waveform analysis

Indexed keywords

CIRCULATION; DEFIBRILLATION; DEFIBRILLATOR; HEART ARREST; HEART VENTRICLE FIBRILLATION; HUMAN; NONLINEAR SYSTEM; POWER SPECTRUM; QUANTITATIVE ANALYSIS; REVIEW; SURVIVAL; SYSTEMATIC REVIEW; WAVEFORM;

DECISION MAKING; ELECTRIC COUNTERSHOCK; ELECTROCARDIOGRAPHY; HEART ARREST; HUMANS; TREATMENT OUTCOME; VENTRICULAR FIBRILLATION;

EID: 20644452036     PISSN: 10705295     EISSN: None     Source Type: Journal    
DOI: 10.1097/01.ccx.0000161725.71211.42     Document Type: Review

References (62)

1. Wiggers CJ. Studies of ventricular fibrillation caused by electrical shock: cinematographic and electrocardiographic observations of the natural process in the dog's heart: its inhibition by potassium and the revival of coordinated beats by calcium. Am Heart J 1930; 5:351-365.
2. Amann A, Rheinberger K, Achleitner U. Algorithms to analyze ventricular fibrillation signals. Curr Opin Crit Care 2001; 7:152-156.
3. Hayes MM, Berg RA, Otto CW. Monitoring during cardiac arrest: are we there yet? Curr Opin Crit Care 2003; 9:211-217.
4. Weisfeldt ML, Becker LB. Resuscitation after cardiac arrest: a 3-phase time-sensitive model. JAMA 2002; 288:3035-3038.
5. Eisenberg MS, Copass MK, Hallstrom AP, et al. Treatment of out-of-hospital cardiac arrests with rapid defibrillation by emergency medical technicians. N Engl J Med 1980; 302:1379-1383.
6. Stults KR, Brown DD, Schug VL, Bean JA. Prehospital defibrillation performed by emergency medical technicians in rural communities. N Engl J Med 1984; 310:219-223.
7. Stiell IG, Wells GA, Field BJ, et al. Improved out-of-hospital cardiac arrest survival through the inexpensive optimization of an existing defibrillation program: OPALS study phase II. Ontario Prehospital Advanced Life Support. JAMA 1999; 281:1175-1181.
8. Yakaitis RW, Ewy GA, Otto CW, et al. Influence of time and therapy on ventricular defibrillation in dogs. Crit Care Med 1980; 8:157-163.
9. Niemann JT, Cairns CB, Sharma J, Lewis RJ. Treatment of prolonged ventricular fibrillation: immediate countershock versus high-dose epinephrine and CPR preceding countershock. Circulation 1992; 85:281-287.
10. Menegazzi JJ, Seaberg DC, Yealy DM, et al. Combination pharmacotherapy with delayed countershock vs. standard advanced cardiac life support after prolonged ventricular fibrillation. Prehosp Emerg Care 2000; 4:31-37.
11. Menegazzi JJ, Callaway CW, Sherman LD, et al. Ventricular fibrillation scaling exponent can guide timing of defibrillation and other therapies. Circulation 2004; 109:926-931. This study in swine demonstrates use of a quantitative electrocardiographic measure to guide timing of therapy during prolonged cardiac arrest.
12. Cobb LA, Fahrenbruch CE, Walsh TR, et al. Influence of cardiopulmonary resuscitation prior to defibrillation in patients without-of-hospital ventricular fibrillation. JAMA 1999; 281:1182-1188.
13. Wik L, Hansen TB, Fylling F, et al. Delaying defibrillation to give basic cardiopulmonary resuscitation to patients with out-of-hospital ventricular fibrillation: a randomized trial. JAMA 2003; 289:1389-1395.
14. Valenzuela TD, Spaite DW, Meislin HW, et al. Emergency vehicle intervals versus collapse-to-CPR and collapse-to-defibrillation intervals: monitoring emergency medical services system performance in sudden cardiac arrest. Ann Emerg Med 1993; 22:1678-1683.
15. Lightfoot CB, Sorensen TJ, Garfinkel MD, et al. Physician interpretation and quantitative measures of electrocardiographic ventricular fibrillation waveform. Prehosp Emerg Care 2001; 5:147-154.
16. Weaver WD, Cobb LA, Dennis D, et al. Amplitude of ventricular fibrillation waveform and outcome after cardiac arrest. Ann Intern Med 1985; 102:53-55.
17. Dalzell GW, Adgey AA. Determinants of successful defibrillation and outcome in ventricular fibrillation, Br Heart J 1991; 65:311-316.
18. Ellenbogen KA, Wood MA, Stambler BS, et al. Measurement of ventricular electrogram amplitude during intraoperative induction of ventricular tachyarrhythmias. Am J Cardiol 1992; 70:1017-1022.
19. Stewart AJ, Alien JD, Adgey AAJ. Frequency analysis of ventricular fibrillation and resuscitation success. Q J Med 1992; 306:761-769.
20. Callaham M, Braun O, Valentine W, et al. Prehospital cardiac arrest treated by urban first-responders: profile of patient response and prediction of outcome by ventricular fibrillation waveform. Ann Emerg Med 1993; 22:1664-1677.
21. Brown CG, Dzwonczyk R. Signal analysis of the human ECG during ventricular fibrillation: frequency and amplitude parameters as predictors of successful countershock. Ann Emerg Med 1996; 27:184-188.
22. Strohmenger HU, Lindner KH, Brown CG. Analysis of the ventricular fibrillation ECG signal amplitude and frequency parameters as predictors of countershock success in humans. Chest 1997; 111:584-589.
23. Monsieurs KG, De Cauwer H, Wuyts FL, Bossaert LL. A rule for early outcome classification of out-of-hospital cardiac arrest patients presenting with ventricular fibrillation. Resuscitation 1998; 36:37-44.
24. Eftestøl T, Sunde K, Aase SO, et al. Predicting outcome of defibrillation by spectral characterization and nonparametric classification of ventricular fibrillation in patients with out-of-hospital cardiac arrest. Circulation 2000; 102:1523-1529.
25. Strohmenger HU, Eftestol T, Sunde K, et al. The predictive value of ventricular fibrillation electrocardiogram signal frequency and amplitude variables in patients with out-of-hospital cardiac arrest. Anesth Analg 2001; 93:1428-1433.
26. Callaway CW, Sherman LD, Mosesso VN, et al. Scaling exponent predicts defibrillation success for out-of-hospital ventricular fibrillation cardiac arrest. Circulation 2001; 103:1656-1661.
27. Hamprecht FA, Jost D, Ruttimann M, et al. Preliminary results on the prediction of countershock success with fibrillation power. Resuscitation 2001; 50:297-299.
28. Podbregar M, Kovaib M, Podbregar-Marc A, Brezocnik M. Predicting defibrillation success by 'genetic' programming in patients with out-of-hospital cardiac arrest. Resuscitation 2003; 57:153-159.
29. Martin DR, Brown CG, Dzwonczyk R. Frequency analysis of the human and swine electrocardiogram during ventricular fibrillation. Resuscitation 1991; 22:85-91.
30. Strohmenger HU, Linder KH, Lurie KG, et al. Frequency of ventricular fibrillation as a predictor of defibrillation success during cardiac surgery. Anesth Analg 1994; 79:434-438.
31. Goto Y, Suzuki I, Inaba H. Frequency of ventricular fibrillation as predictor of one-year survival from out-of-hospital cardiac arrests. Am J Cardiol 2003; 92:457-459.
32. Eftestøl T, Sunde K, Aase SO, et al. Probability of successful defibrillation as a monitor during CPR in out-of-hospital cardiac arrested patients. Resuscitation 2001; 48:245-254.
33. Jekova I, Mougeolle F, Valance A. Defibrillation shock success estimation by a set of six parameters derived from the electrocardiogram. Physiol Meas 2004; 25:1179-1188.
34. Ideker RE, Rogers J, Huang J. Types of ventricular fibrillation: 1, 2, 3, 4 or 300,000. J Cardiovasc Electrophysiol 2004; 15:1441-1443. This commentary discusses current thoughts about the morphology of VF.
35. Riccio ML, Koller ML, Gilmour RF. Electrical restitution and spatiotemporal organization during ventricular fibrillation. Circ Res 1999; 84:955-963.
36. Witkowski FX, Leon LJ, Penkoske PA, et al. Spatiotemporal evolution of ventricular fibrillation. Nature 1998; 392:78-82.
37. Gray RA, Pertsov AM, Jalife J. Spatial and temporal organization during cardiac fibrillation. Nature 1998; 392:75-78.
38. Hsia PW, Fendelander L, Harrington G, Damiano RJ. Defibrillation success is associated with myocardial organization: spatial coherence as a new method of quantifying the electrical organization of the heart. J Electrocardiol 1996;29 (suppl):189-197.
39. Kuelz KW, Hsia PW, Wise RM, et al. Integration of absolute ventricular fibrillation voltage correlates with successful defibrillation. IEEE Trans Biomed Eng 1994; 41:782-791.
40. Noc M, Weil MH, Tang W, et al. Electrocardiographic prediction of the success of cardiac resuscitation. Crit Care Med 1999; 27:708-714.
41. Patwardhan A, Moghe S, Wang K, et al. Relation between ventricular fibrillation voltage and probability of defibrillation shocks: analysis using Hubert transforms. J Electrocardiol 1998; 31:317-325.
42. Bruns A. Fourier-, Hubert- and wavelet-based signal analysis: are they really different approaches? J Neurosci Methods 2004; 137:321-332. This review provides an explanation of the mathematical similarities and differences between currently used signal analysis techniques.
43. Challis RE, Kitney RI. Biomedical signal processing (in four parts). Part 3: the power spectrum and coherence function. Med Biol Eng Comput 1991; 29:225-241.
44. Carlisle EJF, Allen JD, Bailey A, et al. Fourier analysis of ventricular fibrillation and synchronization of DC countershocks on defibrillation. J Electrocardiol 1988; 21:337-343.
45. Povoas HP, Bisera J. Electrocardiographic waveform analysis for predicting the success of defibrillation. Crit Care Med 2000; 28(suppl):N210-N211.
46. Noc M, Weil MH, Tang WC, et al. Electrocardiographic prediction of the success of cardiac resuscitation. Crit Care Med 1999; 274:708-714.
47. Sherman LD, Flagg A, Callaway CW, et al. Angular velocity: a new method to improve prediction of ventricular fibrillation duration. Resuscitation 2004; 60:79-90. This paper describes a new numerical technique to measure frequency composition of the VF waveform and provides graphical illustrations of VF waveform structure.
48. Watson JN, Addison PS, Steen PA, et al. Angular velocity: a new method to improve prediction of ventricular fibrillation duration [letter]. Resuscitation 2004; 62:124-125. This letter discusses the mathematical similarity between recently published VF analysis techniques.
49. Strohmenger HU, Hemmer W, Lindner KH, et al. Median fibrillation frequency in cardiac surgery: influence of temperature and guide to countershock therapy. Chest 1997; 111:1560-1564.
50. Brown CG, Griffith RF, Van Ligten P, et al. Median frequency: a new parameter for predicting defibrillation success rate. Ann Emerg Med 1991; 20:787-789.
51. Watson JN, Uchaipichat N, Addison PS, et al. Improved prediction of defibrillation success for out-of-hospital VF cardiac arrest using wavelet transform methods. Resuscitation 2004; 63:269-275. This analysis of wavelet transforms as a predictor of ROSC is notable for its mathematical rigor and use of training and validation sets.
52. Eftestøl T, Wik L, Sunde K, Steen PA. Effects of cardiopulmonary resuscitation on predictors of ventricular fibrillation defibrillation success during out-of-hospital cardiac arrest. Circulation 2004; 110:10-15. Chest compressions can improve quantitatively the VF waveform in humans, confirming previous observations in animals. These data suggest that other interventions are worthwhile when VF waveform indicates that successful defibrillation is unlikely.
53. Kaplan DR, Cohen RJ. Is fibrillation chaos? Circ Res 1990; 67:886-892.
54. Amann A, Achleitner U, Antretter H, et al. Analysing ventricular fibrillation ECG-signals and predicting defibrillation success during cardiopulmonary resuscitation employing N(alpha)-histograms. Resuscitation 2001; 50:77-85.
55. Sherman L, Callaway CW, Menegazzi JJ. Ventricular fibrillation exhibits dynamical properties and self-similarity. Resuscitation 2000; 47:163-173.
56. Small M, Yu D, Harrison RG, et al. Deterministic nonlinearity in ventricular fibrillation. Chaos 2000; 10:268-277.
57. Callaway CW, Sherman LD, Menegazzi JJ, Scheatzle MD. Scaling structure of electrocardiographic waveform during prolonged ventricular fibrillation in swine. Pacing Clin Electrophysiol 2000; 23:180-191.
58. Menegazzi JJ, Wang HE, Lightfoot CB, et al. Immediate defibrillation versus interventions first in a swine model of prolonged ventricular fibrillation. Resuscitation 2003; 59:261-270.
59. Eftestøl T, Sunde K, Steen PA. Effects of interrupting precordial compressions on the calculated probability of defibrillation success during out-of-hospital cardiac arrest. Circulation 2002; 105:2270-2273.
60. Berg RA, Sanders AB, Kern KB, et al. Adverse hemodynamic effects of interrupting chest compressions for rescue breathing during cardiopulmonary resuscitation for ventricular fibrillation cardiac arrest. Circulation 2001; 104:2465-2470.
61. Kern KB, Hilwig RW, Berg RA, et al. Importance of continuous chest compressions during cardiopulmonary resuscitation: improved outcome during a simulated single lay-rescuer scenario. Circulation 2002; 105:645-649.
62. Berg RA, Hilwig RW, Ewy GA, Kern KB. Precountershock cardiopulmonary resuscitation improves initial response to defibrillation from prolonged ventricular fibrillation: a randomized, controlled swine study. Crit Care Med 2004; 32:1352-1357. Animal data illustrate that a period of chest compressions can improve VF waveform characteristics and rescue shock success after prolonged cardiac arrest.