Life-threatening arrhythmia verification in ICU patients using the joint cardiovascular dynamical model and a bayesian filter

IEEE Transactions on Biomedical Engineering

Volumn 58, Issue 10 PART 1, 2011, Pages 2748-2757

  Sayadi, Omid ^a   Shamsollahi, Mohammad B ^a  

^a SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Arrhythmia verification; cardiovascular (CV) signals; extended Kalman filter (EKF); false alarm (FA) suppression; joint dynamical model; signal fidelity

Indexed keywords

ALARM RATE; ANGULAR FREQUENCIES; ARRHYTHMIA DETECTION; BAYESIAN FILTERS; CARDIOVASCULAR (CV) SIGNALS; DETECTION RANGE; DIMENSIONALITY REDUCTION; DYNAMICAL MODEL; FALSE ALARMS; FILTER STRUCTURES; FILTERING PROCEDURES; GAUSSIAN MIXTURE MODEL; HEART RATES; LIMIT CYCLE; LINEAR ASSIGNMENT; MULTIPARAMETERS; NONLINEAR JOINTS; PERFORMANCE EVALUATION; PHASE PARAMETERS; POLAR REPRESENTATION; PREDICTIVITY; SIGNAL ESTIMATION; SIGNAL FIDELITY;

COVARIANCE MATRIX; EQUATIONS OF MOTION; KALMAN FILTERS; NONLINEAR EQUATIONS; ORDINARY DIFFERENTIAL EQUATIONS;

SIGNAL DETECTION;

ARTICLE; BAYESIAN LEARNING; CARDIOVASCULAR SYSTEM; CRITICALLY ILL PATIENT; EXTENDED KALMAN FILTER; FILTER; HEART ARRHYTHMIA; HEART CYCLE; HEART RATE; HOSPITAL PATIENT; HUMAN; INTENSIVE CARE UNIT; MATHEMATICAL MODEL; SEDATION; SIGNAL DETECTION;

ALGORITHMS; ARRHYTHMIAS, CARDIAC; BAYES THEOREM; BLOOD PRESSURE; ELECTROCARDIOGRAPHY; HEART ARREST; HUMANS; INTENSIVE CARE UNITS; MODELS, CARDIOVASCULAR; PHOTOPLETHYSMOGRAPHY; PULSE; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 80053213729     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2010.2093898     Document Type: Article

References (40)

1. D. Dubin, Rapid Interpretation of EKG's. Tampa, FL: Cover, 2000.
2. M. J. Kern, M. J. Lim, and J. A. Goldstein (Eds.), Hemodynamic Rounds: Interpretation of Cardiac Pathophysiology from PressureWaveform Analysis. Hoboken, NJ: Blackwell, 2009.
3. M. D. Cheitlin, M. Sokolow, and M. B. Mcllroy, Clinical Cardiology: Appleton & Lange, Norwalk, Conn., 1993.
4. M. A. Cohen and J. A. Taylor, "Short-term cardiovascular oscillations in man: Measuring and modeling the physiologies," J. Physiol., vol. 542, pp. 669-683, 2002.
5. H. P. Koepchen, "History of studies and concepts of blood pressure waves," in Mechanisms of Blood PressureWaves,K. Miyakawa, C. Polosa, and H. P. Koepchen, Eds. Berlin, Germany: Springer-Verlag, 1984, pp. 3-23.
6. G.Baselli, E. Caiani, A. Porta, N. Montano, M. G. Signorini, and S.Cerutti, "Biomedical signal processing and modeling in cardiovascular systems," Crit. Rev. Biomed. Eng., vol. 30, pp. 55-84, 2002.
7. R. Virmani, Cardiovascular Pathology.W. B. Saunders Co., Philadelphia, PA, 2001.
8. La. Rovere, "Methods to assess baroreflex sensitivity as a measure of the activity of the autonomic nervous system," in Advances in Noninvasive Electrocardiograph Monitoring Techniques, M. H.-H. Osterhues et al., Ed. Norwell, MA: Kluwer Academic Publishers, 2000.
9. M. L. Appel, R. D. Berger, J. P. Saul, J. M. Smith, and R. J. Cohen, "Beat to beat variability in cardiovascular variables: Noise or music," J. Am. Coll. Cardiol., vol. 14, no. 5, pp. 1139-1148, 1989.
10. R. I. Kitney, T. Fulton, A. H. McDonald, and D. A. Linkenst, "Transient interactions between blood pressure, respiration and heart rate in man," J. Biomed. Eng., vol. 7, no. 3, pp. 217-224, 1985.
11. J. McNames and M. Aboy, "Statistical modeling of cardiovascular signals and parameter estimation based on the extended Kalman filter," IEEE Trans. Biomed. Eng., vol. 55, no. 1, pp. 119-129, Jan. 2008.
12. N. Thakor, Y. S. Zhu, and K. Y. Pan, "Ventricular tachycardia and fibrillation detection by a sequential hypothesis testing algorithm," IEEE Trans. Biomed. Eng., vol. 37, no. 9, pp. 837-843, Sep. 1990.
13. X. S. Zhang, Y. S. Zhu, N. Thakor, and Z. Z.Wang, "Detecting ventricular tachycardia and fibrillation by complexity measure," IEEE Trans. Biomed. Eng., vol. 46, no. 5, pp. 548-555, May 1999.
14. S. Barro, R. Ruiz, D. Cabello, and J. Mira, "Algorithmic sequential decision-making in the frequency domain for life threatening ventricular arrhythmias and imitative artefacts: A diagnostic system," J. Biomed. Eng., vol. 11, pp. 320-328, 1989.
15. S. Kuo and R. Dillman, "Computer detection of ventricular fibrillation," in Computers in Cardiology. Los Alamitos, CA: IEEE Comput. Soc. Press, 1978, pp. 347-349.
16. V. Deshmane, "False arrhythmia alarm auppression using ECG, ABP, and photoplethysmogram," M.Sc. thesis, Dept. Electr. Eng. Comput. Sci.,MIT Univ., Cambridge, MA, 2009.
17. Aboukhalil, L. Nielsen, M. Saeed, R. G. Mark, and G. D. Clifford, "Reducing false alarm rates for critical arrhythmias using the arterial blood pressure waveform," J. Biomed. Inform., vol. 41, pp. 442-451, 2008.
18. P. E. McSharry,G.D.Clifford, L. Tarassenko, and L.A. Smith, "Adynamic model for generating synthetic electrocardiogram signals," IEEE Trans. Biomed. Eng., vol. 50, no. 3, pp. 289-294, Mar. 2003.
19. R. Sameni, M. B. Shamsollahi, and C. Jutten, "Filtering electrocardiogram signals using the extended Kalman filter," in Proc. 27nd IEEE Eng. Med. Biol. (EMBS) Conf., Shanghai, China, Sep. 1-4, 2005, pp. 5639- 5642.
20. R. Sameni,M. B. Shamsollahi, C. Jutten, and M. Babaie-Zadeh, "Filtering noisy ECG signals using the extended Kalman filter based on a modified dynamic ECG model," in Proc. 32nd Annu. Int. Conf. Comput. Cardiol., Lyon, France, Sep. 25-28, 2005, pp. 1017-1020.
21. R. Sameni,M. B. Shamsollahi, C. Jutten, and G. D. Clifford, "A nonlinear Bayesian filtering framework for ECG denoising," IEEE Trans. Biomed. Eng., vol. 54, no. 12, pp. 2172-2185, Dec. 2007.
22. E. A. Wan and R. Van Der Merwe, "The unscented Kalman filter," in Kalman Filtering and Neural Networks, S. Haykin, Ed. New York: Wiley, 2001.
23. P. M. Djurić, J. H. Kotecha, J. Zhang, Y. Huang, T. Ghirmai, M. F. Bugallo, and J. Míguez, "Particle filtering," IEEE Signal Process. Mag, vol. 20, no. 5, pp. 19-38, Sep. 2003.
24. S. M. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory. Englewood Cliffs, NJ: Prentice-Hall, 1993.
25. D. Simon, (ed.), Optimal State Estimation. New York: Wiley, 2006.
26. S. Haykin, (ed.), Kalman Filtering and Neural Networks. NewYork: Wiley, 2001.
27. Cardiac Monitors, Heart Rate Meters, and Alarms, American National Standard ANSI/AAMI EC13:2002. Association for the Advancement of Medical Instrumentation, Arlington, VA, 2002.
28. W. Zong, G. B. Moody, and R. G.Mark, "Reduction of false arterial blood pressure alarms using signal quality assessment and electrocardiogramarterial blood pressure relationships," Med. Biol. Eng. Comput., vol. 42, pp. 698-706, Sep. 2004.
29. J. X. Sun, A. T. Reisner, and R. G. Mark, "A signal abnormality index for arterial blood pressure waveforms," in Proc. Comput. Cardiol., 2006, pp. 13-16.
30. J. X. Sun, "Cardiac output estimation using arterial blood pressure waveforms," M.Sc. thesis, Dept. Electr. Eng. Comput. Sci., MIT Univ., Cambridge, MA, 2006.
31. O. Sayadi, M. B. Shamsollahi, and G. D. Clifford, "Robust detection of premature ventricular contractions using a wave-based Bayesian framework," IEEE Trans. Biomed. Eng., vol. 57, no. 2, pp. 353-362, Feb. 2010.
32. A. Gelb, (ed.), Applied Optimal Estimation. Cambridge, MA: MIT Press, 1974.
33. M. S. Grewal, L. R. Weill, and A. P. Andrews, (eds.), Global Positioning Systems, Inertial Navigation, and Integration. New York: Wiley, 2001.
34. G. B. Moody and R. G. Mark, "A database to support development and evaluation of intelligent intensive care monitoring," in Proc. Comput. Cardiol., 1996, pp. 657-660.
35. The MIMIC Database. (2010, Jun. 30). [Online]. Available: http://physionet.caregroup.harvard.edu/physiobank/database/mimicdb/
36. M. Saeed, C. Lieu, G. Raber, and R. G. Mark, "MIMIC II: A massive temporal ICU patient database to support research in intelligent patient monitoring," in Proc. Comput. Cardiol., 2002, vol. 29, pp. 641-644.
37. The MIMIC II Waveform Database. (2010, Jun. 30). [Online]. Available: http://www.physionet.org/pn5/mimic2db/
38. R. E. Kerber, L. B. Becker, J. D. Bourland, R. O. Cummins, A. P. Hallstrom,M.B.Michos,G.Nichol, J. P.Ornato,W.H. Thies,R.D.White, and B. D. Zuckerman, "Automatic external defibrillators for public access defibrillation: Recommendations for specifying and reporting arrhythmia analysis algorithm performance, incorporating new waveforms, and enhancing safety. A statement for health professionals from the American Heart Association Task Force on Automatic External Defibrillation, Subcommittee on AED Safety and Efficacy," Circulation, vol. 95, pp. 1677- 1682, 1997.
39. E. Aramendi, U. Irusta, E. Pastor, A. Bodegas, and F. Benito, "ECG spectral and morphological parameters reviewed and updated to detect adult and paediatric life-threatening arrhythmia," Physiol. Meas., vol. 31, pp. 749-761, 2010.
40. N. Thakor, Y. S. Zhu, and K. Y. Pan, "Ventricular tachycardia and fibrillation detection by a sequential hypothesis testing algorithm," IEEE Trans. Biomed. Eng., vol. 37, pp. 837-843, 1990.