Removal of CPR artifacts from the ventricular fibrillation ECG by adaptive regression on lagged reference signals

IEEE Transactions on Biomedical Engineering

Volumn 55, Issue 1, 2008, Pages 130-137

  Rheinberger, Klaus ^a   Steinberger, Thomas ^a   Unterkofler, Karl ^a   Baubin, Michael ^b   Klotz, Andreas ^c   Amann, Anton ^b  

^a VORARLBERG UNIVERSITY OF APPLIED SCIENCES   (Austria)

^b INNSBRUCK MEDICAL UNIVERSITY   (Austria)

^c UNIVERSITY OF VIENNA   (Austria)

Author keywords

Adaptive regression; Artifact removal; Cardiopulmonary resuscitation; Electrocardiogram (ECG) signal; Kalman filtering; State space model; Ventricular fibrillation

Indexed keywords

ALGORITHMS; CARDIOLOGY; MATHEMATICAL MODELS; PARAMETER ESTIMATION; REGRESSION ANALYSIS; SIGNAL ANALYSIS; SIGNAL TO NOISE RATIO;

ANIMAL ASYSTOLE CPR DATA; CARDIAC PERFUSION; CPR ARTIFACTS; VENTRICULAR FIBRILLATION;

ELECTROCARDIOGRAPHY;

ALGORITHM; ARTICLE; ARTIFACT REDUCTION; ASYSTOLE; DEFIBRILLATION; ELECTROCARDIOGRAM; HEART VENTRICLE FIBRILLATION; REGRESSION ANALYSIS; RESUSCITATION; SIGNAL DETECTION; SIGNAL NOISE RATIO; STOCHASTIC MODEL;

ALGORITHMS; ARTIFACTS; CARDIOPULMONARY RESUSCITATION; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROCARDIOGRAPHY; HUMANS; REFERENCE VALUES; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; VENTRICULAR FIBRILLATION;

EID: 37349087241     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2007.902235     Document Type: Article

References (22)

1. M. S. Eisenberg and T. J. Mengert, "Cardiac resuscitation," New England J. Med., vol. 344, no. 17, pp. 1304-13, 2001.
2. "2005 international consensus on cardiopulmonary resuscitation (CPR) and emergency cardiovascular care (ECC) science with treatment recommendations," Circulation, vol. 112, no. 22 Suppl, pp. III1-136, 2005.
3. "2005 American heart association guidelines for cardiopulmonary resuscitation and emergency cardiovascular care," Circulation, vol. 112, no. 24 Suppl, pp. IV1-203, 2005.
4. M. F. Hazinski, V. M. Nadkarni, R. W. Hickey, R. O'Connor, L. B. Becker, and A. Zaritsky, "Major changes in the 2005 AHA guidelines for CPR and ECC: Reaching the tipping point for change," Circulation, vol. 112, no. 24 Suppl, pp. IV206-11, 2005.
5. A. Langhelle, T. Eftestol, H. Myklebust, M. Eriksen, B. T. Holten, and P. A. Steen, "Reducing CPR artefacts in ventricular fibrillation in vitro," Resuscitation, vol. 48, no. 3, pp. 279-91, 2001.
6. Y. Sato, M. H. Weil, S. Sun, W. Tang, J. Xie, M. Noc, and J. Bisera, "Adverse effects of interrupting precordial compression during cardiopulmonary resuscitation," Crit. Care Med., vol. 25, no. 5, pp. 733-6, 1997.
7. T. Eftestol, K. Sunde, and P. A. Steen, "Effects of interrupting precordial compressions on the calculated probability of defibrillation success during out-of-hospital cardiac arrest," Circulation, vol. 105, no. 19, pp. 2270-3, 2002.
8. A. Amann, K. Rheinberger, and U. Achleitner, "Algorithms to analyze ventricular fibrillation signals," Curr . Opin. Crit. Care, vol. 7, no. 3, pp. 152-6, 2001.
9. C. W. Callaway and J. J. Menegazzi, "Waveform analysis of ventricular fibrillation to predict defibrillation," Curr. Opin. Crit. Care, vol. 11, no. 3, pp. 192-9, 2005.
10. A. Amann, U. Achleitner, H. Antretter, J. O. Bonatti, A. C. Krismer, K. H. Lindner, J. Rieder, V. Wenzel, W. G. Voelckel, and H. U. Strohmenger, "Analysing ventricular fibrillation ECG-signals and predicting defibrillation success during cardiopulmonary resuscitation employing N(alpha)-histograms," Resuscitation, vol. 50, no. 1, pp. 77-85, 2001.
11. H. U. Strohmenger, K. H. Lindner, and C. G. Brown, "Analysis of the ventricular fibrillation ECG signal amplitude and frequency parameters as predictors of countershock success in humans," Chest, vol. 111, no. 3, pp. 584-9, 1997.
12. J. Ruiz, E. Aramendi, S. Ruiz de Gauna, A. Lazkano, L. A. Leturiendo, and J. J. Gutierrez, "Ventricular fibrillation detection in ventricular fibrillation signals corrupted by cardiopulmonary resuscitation artifact," in Proc. 30th Annu. Int. Conf. Computers Cardiology, 2003, pp. 221-4.
13. S. Ruiz de Gauna, J. Ruiz, U. Irusta, E. Aramendi, A. Lazkano, and J. J. Gutierrez, "CPR artefact removal from VF signals by means of an adaptive Kalman filter using the chest compression frequency as reference signal," in Proc. 32nd Annu. Int. Conf. Computers Cardiology, 2005, pp. 175-178.
14. A. Klotz, H. G. Feichtinger, and A. Amann, "Elimination of CPR-artefacts in VF-ECGs by time frequency methods," Biomed. Tech., vol. 48, no. Ergänzungsband 1, pp. 218-219, 2003.
15. A. Klotz, A. Amann, and H. G. Feichtinger, "Removal of CPR artifacts in ventricular fibrillation ECG by local coherent line removal," presented at the 12th Eur. Signal Processing Conf., Vienna, Austria, 2004.
16. J. H. Husoy, J. Eilevstjonn, T. Eftestol, S. O. Aase, H. Myklebust, and P. A. Steen, "Removal of cardiopulmonary resuscitation artifacts from human ECG using an efficient matching pursuit-like algorithm," IEEE Trans. Biomed. Eng., vol. 49, no. 11, pp. 1287-98, Nov. 2002.
17. J. Eilevstjonn, T. Eftestol, S. O. Aase, H. Myklebust, J. H. Husoy, and P. A. Steen, "Feasibility of shock advice analysis during CPR through removal of CPR artefacts from the human ECG," Resuscitation, vol. 61, no. 2, pp. 131-41, 2004.
18. K. Rheinberger, M. Baubin, K. Unterkofler, and A. Amann, "Removal of resuscitation artefacts from ventricular fibrillation ECG signals using Kalman methods," in Proc. 32nd Annu. Int. Conf. Computers Cardiology, Lyon, France, 2005, vol. 32, pp. 555-558.
19. B. D. O. Anderson and J. B. Moore, Optimal Filtering. Mineola, NY: Dover, 2005.
20. P.J. Brockwell and R. A. Davis, Introduction to Time Series and Forecasting, 2nd ed. New York: Springer, 2002.
21. M. Arnold, W. H. R. Miltner, H. Witte, R. Bauer, and C. Braun, "Adaptive AR modelling of nonstationary time series by means of Kalman filtering," IEEE Trans. Biomed. Eng., vol. 45, no. 5, pp. 553-562, May 1998.
22. A. Amann, K. Rheinberger, U. Achleitner, A. C. Krismer, W. Lingnau, K. H. Lindner, and V. Wenzel, "The prediction of defibrillation outcome using a new combination of mean frequency and amplitude in porcine models of cardiac arrest," Anesth. Analg., vol. 95, no. 3, pp. 716-22, 2002.