A realistic coupled nonlinear artificial ECG, BP and respiratory signal generator for assessing noise performance of biomedical signal processing algorithms

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5467, Issue , 2004, Pages 290-301

  Clifford, Gari D ^a   McSharry, Patrick E ^b  

^a HARVARD MIT DIVISION OF HEALTH SCIENCES AND TECHNOLOGY   (United States)

^b UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Artificial signal; Blood pressure; EKG; Electrocardiogram; Independent component analysis; Measurement error; Noise; Noise removal; Nonlinear model; Respiration

Indexed keywords

ARTIFICIAL SIGNAL; BLOOD PRESSURE; ELECTROCARDIOGRAM; MONLINEAR MODEL; NOISE REMOVAL; RESPIRATION;

ALGORITHMS; ATTENUATION; BIOTECHNOLOGY; BLOOD; COMPUTATIONAL METHODS; INDEPENDENT COMPONENT ANALYSIS; MEASUREMENT ERRORS; SIGNAL PROCESSING; SPURIOUS SIGNAL NOISE; WAVEFORM ANALYSIS;

ELECTROCARDIOGRAPHY;

EID: 4344703248     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.544525     Document Type: Conference Paper

References (29)

1. McSharry P.E., Clifford G.D., Tarassenko L., Smith L.: A dynamical model for generating synthetic electrocardiogram signals, IEEE Transactions On Biomedical Engineering, 50(3), 289-294, March 2003.
2. www.physionet.org/physiobank/ecgsyn/
3. Task Force of the European Society of Cardiology, the North American Society of Pacing, and Electrophysiology, "Heart rate variability: standards of measurement, physiological interpretation, and clinical use," 1996.
4. A. L. Goldberger, L. A. N. Amaral, L. Glass, J. M. Hausdorff, P. Ch. Ivanov, R. G. Mark, J. E. Mietus, G. B. Moody, C. K. Peng, and H. E. Stanley, "Physiobank, physiotoolkit, and physionet: Components of a new research resource for complex physiologic signals," Circulations, vol. 101, no. 23, pp. e215-e220, 2000.
5. W. H. Press, B. P. Flannery, S. A. Teukolsky, and W. T. Vetterling, Numerical Recipes in C, CUP, Cambridge, 2nd edition, 1992.
6. Abboud S., Barnea O.: Errors due to sampling frequency of electrocardiogram in spectral analysis of heart rate signals with low variability, Computers in Cardiology, pp 461-463, 1995.
7. M. H. Crawford, S. Bernstein, and P Deedwania, "ACC/AHA guidelines for ambulatory electrocardiography," Circulation, vol. 100, pp. 886-893, 1999.
8. S. Hales, Statical Essays II, Haemastaticks, Innings and Manby, London, 1733.
9. C. Ludwig, "Beiträge zur Kenntnis des Einflusses der Respirationsbewegung auf den Blutlauf im Aortensystem," Arch. Anat. Physiol., vol. 13, pp. 242-302, 1847.
10. R. W. De Boer, J. M. Karemaker, and J. Strackee, "Hemodynamic fluctuations and baroreflex sensitivity in humans: a beat-to-beat model," Am. J. Physiol., vol. 253, pp. 680-689, 1987.
11. A. Stefanovska, H. Haken, P. V. E. McClintock, M. Hozic, F. Bajrovic, S. Ribaric, Reversible transitions between synchronization states of the cardiorespiratory system, Phys. Rev. Lett. 85, 4831-4834, 2000
12. Boudalis H., Systolic time intervals in Cardiac Output Measures, Robertson JIS & Birkenhager WH (Eds.), Saunders, 1991.
13. Gribbin B, Steptoe A, Sleight P. Pulse wave velocity as a measure of blood pressure change. Psychophysiology 1976;13:86-90.
14. Drinnan M.J., Allen J. and Murray A. Relation between heart rate and pulse transit time during paced respiration. Physiol Meas 2001;22:425-32.
15. J R Stradling, C Barbour, J Glennon, B A Langford, and J H Crosby Which aspects of breathing during sleep influence the overnight fall of blood pressure in a community population? Thorax, May 1, 2000; 55(5): 393 - 398.
16. Hoyer D., Frasch M.G., Eiselt M., Hoyer O., Zwiener U.: Validating phase relations between cardiac and breathing cycles during sleep, IEEE Eng. Med. Biol, March/April 2001.
17. Cavalcanti S.: Arterial baroreflex influence on heart rate variability: a mathematical model-based analysis, Med. Biol. Eng. Comput., 38(2): 189-97. Mar 2000.
18. Zhao Y., Yamamoto M., Munakata M., Nakao M. and Kattayama N.: Investigation of the time delay between variations in heart rate and blood pressure, Med. Biol. Eng. Comput. 1999;37:344-7.
19. Chirife R., Pigott VM., Spodick DH.: Measurement of the left ventricular ejection time by digital plethysmography, American Heart Journal, Aug 1971;Vol 82 No. 2:222-7.
20. Broomhead DS, King GP. Extracting Qualitative Dynamics from Experimental Data. Physica D, 20:217-236. 1986.
21. Takens F. Detecting Strange Attractors in Turbulances. Lecture Notes in Mathematics, 898:366-381. 1981.
22. nd ed. Johns Hopkins Univ. Press, Baltimore 1989.
23. De Lathauwer L., B. De Moor B. and Vandewalle J. Fetal electrocardiogram extraction by source subspace separation in Proc. of IEEE Signal Processing / Athos Workshop on Higher-Order Statistics, Girona, Spain, Jun. 1995: 134-138
24. Hyvärinen A, Oja A. A Fast Fixed Point Algorithm for Independent Component Analysis. Neural Computation, 9:1483-1492. 1997.
25. Cardoso J-F, Multidimensional independent component analysis, Proc. ICASSP'98. Seattle.
26. James CJ and Lowe D. Extracting multisource brain activity from a single electromagnetic channel, Artificial Intelligence in Medicine Volume 28, Issue 1, May 2003, Pages 89-104
27. T. Schreiber and D. Kaplan Nonlinear noise reduction for electrocardiograms Chaos 6(1), pp 87-92, 1996.
28. G. B. Moody, R. G. Mark, M. A. Bump, J. S. Weinstein, A. D. Berman, J. E. Mietus, and A. L. Goldberger, "Clinical validation of the ecg-derived respiration (edr) technique," Computers in Cardiology, vol. 13, pp. 507-510, 1986.
29. P. Davey, "A new physiological method for heart rate correction of the QT interval," Heart, vol. 82, pp. 183-186, 1999.