Design and development of a heart rate variability analyzer

Journal of Medical Systems

Volumn 36, Issue 3, 2012, Pages 1365-1371

  Mohan, Aparna ^a   James, Frana ^a   Fazil, Sajeer ^a   Joseph, Paul K ^a  

^a NATIONAL INSTITUTE OF TECHNOLOGY CALICUT   (India)

Author keywords

Digital signal controller; Heart rate variability; Non linear time series analysis; Photoplethysmography

Indexed keywords

ARTICLE; ELECTROCARDIOGRAM; ENTROPY; HEART BEAT; HEART RATE VARIABILITY; INFORMATION SCIENCE; PHOTOELECTRIC PLETHYSMOGRAPHY; SENSOR; SIGNAL PROCESSING; TIME SERIES ANALYSIS;

ARRHYTHMIAS, CARDIAC; DIAGNOSIS, COMPUTER-ASSISTED; EQUIPMENT DESIGN; HEART RATE; HUMANS; PHOTOPLETHYSMOGRAPHY;

EID: 84864073526     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-010-9597-6     Document Type: Article

References (26)

1. Paul Josph, K., Suri, J. S., and Rajendra Acahraya, U., Heart rate variability: a review. Med. Biol. Eng. Comput. 44:1031-1051, 2006. (Pubitemid 47090818)
2. Lown, B., and Verrier, R. L., Neural activity and ventricular fibrillation. N. Engl. J. Med. 294:1165-1170, 1976.
3. Corr, P. B., Yamada, K. A., and Witkowski, F. X., Mechanisms controlling cardiac autonomic function and their relation to arrhythmogenesis. In: Fozzard, H. A., Haber, E., Jennings, R. B., Katz, A. N., and Morgan, H. E. (Eds.), The Heart and Cardiovascular System. Raven, New York, pp. 1343-1403, 1986.
4. Schwartz, P. J., and Priori, S. G., Sympathetic nervous system and cardiac arrhythmias. In: Zipes, D. P., and Jalife, J. (Eds.), Cardiac Electrophysiology: From Cell to Bedside. WB Saunders, Philadelphia, pp. 330-343, 1990.
5. Levy, M. N., and Schwartz, P. J. (Eds.), Vagal Control of the Heart: Experimental Basis and Clinical Implications. Futura, Armonk, 1994.
6. Malliani, A., Pagani, M., Lombardi, F., and Cerutti, S., Cardiovascular neural regulation explored in the frequency domain. Circulation. 84:1482-1492, 1991.
7. Kamath, M. V., and Fallen, E. L., Power spectral analysis of heart rate variability: a noninvasive signature of cardiac autonomic function. Crit. Rev. Biomed. Eng. 21:245-311, 1993. (Pubitemid 23198884)
8. Appel, M. L., Berger, R. D., Saul, J. P., Smith, J. M., and Cohen, R. J., Beat to beat variability in cardiovascular variables: noise or music? J. Am. Coll. Cardiol. 14:1139-1148, 1989. (Pubitemid 19268659)
9. Appel, M. L., Berger, R. D., Saul, J. P., Smith, J. M., and Cohen, R. J., Beat to beat variability in cardiovascular variables: noise or music? J. Am. Coll. Cardiol. 14:1139-1148, 1989. (Pubitemid 19268659)
10. Allen, J., Photoplethysmography and its application in clinical physiological measurement. Physiol. Meas. 28(3):R1-R39, 2007. (Pubitemid 46646334)
11. Henry, B., Lovell, N., and Camacho, F., Non linear dynamics time series analysis. Non linear biomedical signal processing Vol. 2-Dynamic analysis and modeling, Wiley-IEEE press, 2000.
12. Takens, F., Detecting strange attractors in turbulence. In: Rand, D. A., and Young, L. S. (Eds.), Dynamical Systems and Turbulence. Springer, Berlin, 1981.
13. Sauer, T., Yorke, J., and Casdagli, M., Embedology. J. Stat. Phys. 65:579-616, 1994.
14. Wolf, A., Swift, J. B., Swinney, H. L., and Vastano, J. A., Determining Lyapunov exponents from a time series. Physica D. 16:285-317, 1985.
15. Liebert, W., and Schuster, H. G., Proper choice of the time delay for analysis of chaotic time series. Phys. Lett. A 142:107, 1989.
16. Grassberger, P., and Procaccia, I., Characterization of strange attractors. Phys. Rev. Lett. 50(5):346-349, 1983.
17. Pincus, S. M., Approximate entropy as a measure of system complexity. Proc. Natl. Acad. Sci. USA. 88:2297-2301, 1991. (Pubitemid 21916403)
18. Ki H, C., Scully, C. G., and Lu, S., Approximate entropy for all signals. IEEE engineering in medicine and biology magazine, November/December 2009, pp 18-23
19. Khaled, A. S., Owis, M. I., andMohamed, A. S. A., Employing timedomain methods and poincaré plot of heart rate variability signals to detect congestive heart failure. BIME Journal, 6(1), 2006.
20. Piskorski, J., and Guzik, P., Filtering poincare plots. Comput. Methods Sci. Technol. 11(1):39-48, 2005.
21. Acharya, U. R., Kannathal, N., and Krishnan, S. M., Comprehensive analysis of cardiac health during heart rate signals. Physiol. Meas. J. 25:1130-1151, 2004.
22. Acharya, U. R., Kannathal, N., Seng, O. W., Ping, L. Y., and Chua, T., Heart rate analysis in normal subjects of various age groups. Biomed Online J. USA 3(24), 2004
23. Peng, C. K., Buldyrev, S. V., Havlin, S., Simons, M., Stanley, H. E., and Goldberger, A. L., Mosaic organization of DNA nucleotides. Phys. Rev. E. 49:1685-1689, 1994.
24. Yeh, R.-G., Shieh, J. S., Han, Y. Y., Yu-Jungwang, and Tseng, S. C., Detrended fluctuation analyses of short-term heart rate variability in surgical intensive care units. Biomed. Eng. Appl. Basis Commun. 18:67-72, 2006. (Pubitemid 43774540)
25. Rojo-Alvarez, J. L., Sanchez-Sanchez, A., Barquero-Perez, O., Goya-Esteban, R., Everss, E., Mora-Jimenez, I., and Garcia-Alberola, A., Analysis of physiological meaning of detrended fluctuation analysis in heart rate variability using a lumped parameter model. Comput. Cardiol. 34:25-28, 2007.
26. Smith, S. W., Ph.D. Chapter 2: Statistics: Probability and Noise. The Scientist and Engineer's Guide to Digital Signal Processing. Available online at http://www.dspguide.com/ch2.htm (last checked on 25-Aug-2010.