Detection of cardiac variability in the isolated rat heart

Biological Research for Nursing

Volumn 8, Issue 1, 2006, Pages 55-66

  Schumacher, Autumn M ^a   Zbilut, Joseph P ^b,c   Webber Jr , Charles L ^d   Schwertz, Dorie W ^e   Piano, Mariann R ^e  

^a MEDICAL COLLEGE OF GEORGIA   (United States)

^b Department of Adult Health Nursing ^*

^c RUSH UNIVERSITY   (United States)

^d LOYOLA UNIVERSITY   (United States)

^e UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

Author keywords

Cardiac variability; Isolated rat heart model; Recurrence quantification analysis

Indexed keywords

ACETYLCHOLINE; ADRENERGIC RECEPTOR BLOCKING AGENT; ADRENERGIC RECEPTOR STIMULATING AGENT; ATENOLOL; ATROPINE; CHOLINERGIC RECEPTOR BLOCKING AGENT; CHOLINERGIC RECEPTOR STIMULATING AGENT; NORADRENALIN; PHENTOLAMINE;

ANIMAL; ARTICLE; AUTONOMIC NERVOUS SYSTEM; DISEASE MODEL; DRUG EFFECT; ELECTROCARDIOGRAPHY; HEART RATE; HEART VENTRICLE PRESSURE; MALE; MATHEMATICAL COMPUTING; METHODOLOGY; MONITORING; NONLINEAR SYSTEM; PHYSIOLOGY; RANDOMIZATION; RAT; SIGNAL PROCESSING; SPRAGUE DAWLEY RAT; SYSTOLE; VALIDATION STUDY;

ACETYLCHOLINE; ANIMALS; ATENOLOL; ATROPINE; AUTONOMIC NERVOUS SYSTEM; CHOLINERGIC AGENTS; DISEASE MODELS, ANIMAL; ELECTROCARDIOGRAPHY; HEART RATE; MALE; MONITORING, PHYSIOLOGIC; NONLINEAR DYNAMICS; NOREPINEPHRINE; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PARASYMPATHOLYTICS; PHENTOLAMINE; RANDOM ALLOCATION; RATS; RATS, SPRAGUE-DAWLEY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SYMPATHOLYTICS; SYMPATHOMIMETICS; SYSTOLE; VENTRICULAR PRESSURE;

EID: 33747185118     PISSN: 10998004     EISSN: 15524175     Source Type: Journal    
DOI: 10.1177/1099800406289775     Document Type: Article

References (29)

1. Akay, M. (2001). Nonlinear biomedical signal processing. Volume II. Dynamic analysis and modeling. New York: IEEE Press.
2. Balaji, S., Ellenby, M., McNames, J., & Goldstein, B. (2002). Update on intensive care ECG and cardiac event monitoring. Cardiac Electrophysiology Review, 6, 190-195.
3. Berntson, G. G., Bigger, J. T., Eckberg, D. L., Grossman, P., Kaufmann, P. G., Malik, M., et al. (1997). Heart rate variability: Origins, methods and interpretive caveats. Psychophysiology, 34, 623-648.
4. Dabire, H., Mestivier, D., Jarnet, J., Safar, M. E., & Chau, N. P. (1998). Quantification of sympathetic and parasympathetic tones by nonlinear indexes in normotensive rats. American Journal of Physiology. Heart and Circulatory Physiology, 275, H1290 - H1297.
5. Fawzi, A. B. (1997). The Langendorff heart. In J. H. McNeill (Ed.), Measurement of cardiac function (pp. 1-9). Boca Raton, FL: CRC.
6. Galinanes, M., & Hearse, D. J. (1990). Assessment of ischemic injury and protective interventions: The Langendorff versus the working rat heart preparation. Canadian Journal of Cardiology, 6 (2). 83-91.
7. Giuliani, A., Piccirillo, G., Marigliano, V., & Colosimo, A. (1998). A nonlinear explanation of aging-induced changes in heartbeat dynamics. American Journal of Physiology. Heart and Circulatory Physiology, 75, H1455 - H1461.
8. Gonzalez, J. J., Cordero, J. J., Feria, M., & Pereda, E. (2000). Detection and sources of nonlinearity in the variability of cardiac R-R intervals and blood pressure in rats. American Journal of Physiology. Heart and Circulatory Physiology, 279, H3040 - H3046.
9. Iwanski, J. S., & Bradley, E. (1998). Recurrence plots of experimental data: To embed or not to embed ? Chaos, 8 (4). 861-871.
10. Kantz, H., & Schreiber, T. (1997). Nonlinear time series analysis. Cambridge, UK: Cambridge University Press.
11. Khoo, M. C. K. (2000). Physiological control systems: Analysis, simulation and estimation. New York: IEEE Press.
12. Kim, S. D., Beck, J., Bieniarz, T., Schumacher, A., & Piano, M. R. (2001). A rodent model of alcoholic heart muscle disease and its evaluation by echocardiography. Alcoholism: Clinical and Experimental Research, 25 (3). 457-463.
13. Liu, Y., Kankaanpaa, M., Zbilut, J. P., & Webber, C. L., Jr. (2004). EMG recurrence quantifications in dynamic exercise. Biological Cybernetics, 90, 337-348.
14. Mansfield, M., & O'Sullivan, C. (1998). Understanding physics. New York: John Wiley.
15. Marwan, N., Wessel, N., Meyerfeldt, U., Schirdewan, A., & Kurths, J. (2002). Recurrence-plot-based measures of complexity and their application to heart-rate-variability data. Physical Review E, 66, 026702.1-026702.8.
16. Neely, J. R., Liebermeister, H., Battersby, E. J., & Morgan, H. E. (1967). Effect of pressure development on oxygen consumption by isolated rat heart. American Journal of Physiology, 212 (4). 804-814.
17. Opie, L. H. (1965). Coronary flow rate and perfusion pressure as determinants of mechanical function and oxidative metabolism of isolated perfused rat heart. Journal of Physiology, 180, 529-541.
18. Sahambi, J. S., Tandon, S. N., & Bhatt, R. K. P. (1997, January/February). Using wavelet transforms for ECG characterization. IEEE Engineering in Medicine and Biology, pp. 77-83.
19. Schulz, S., Bauernschmitt, R., Schwarzhaupt, A., Vahl, C. F., & Kiencke, U. (2001). Ventriculo-arterial interaction after acute increase of the aortic input impedance: Description of using recurrence plot analysis. In M. Akay (Ed.), Nonlinear biomedical signal processing. Volume II. Dynamic analysis and modeling (pp. 214-227). New York: IEEE Press.
20. Schumacher, A. (2004). Linear and nonlinear approaches to the analysis of R-R interval variability. Biological Research for Nursing, 5 (3). 211-221.
21. Strogatz, S. H. (1994). Nonlinear dynamics and chaos. With applications to physics, biology, chemistry and engineering. Reading, MA: Addison-Wesley.
22. Thomasson, N., Hoeppner, T. J., Webber, C. L., Jr., & Zbilut, J. P. (2001). Recurrence quantification in epileptic EEGs. Physics Letters A, 279, 94-101.
23. Webber, C. L., Jr. (2005). The meaning and measurement of cardiac variability ? Critical Care Medicine, 33 (3). 677-678.
24. Webber, C. L., Jr., & Zbilut, J. P. (1994). Dynamical assessment of physiological systems and states using recurrence plot strategies. Journal of Applied Physiology, 76 (2). 965-973.
25. Webber, C. L., Jr., & Zbilut, J. P. (2005). Recurrence quantification analysis of nonliner dynamical systems. In M. A. Riley & G. Van Orden (Eds.), Tutorials in contemporary nonlinear methods for the behavioral sciences (pp. 26-94). Retrieved January 25, 2006, from http://www.nsf.gov/sbe/bcs/pac/nmbs/nmbs.pdf
26. Zbilut, J. P., Mayer-Kress, G., Sobotka, P. A., O'Toole, M., & Thomas, J. X., Jr. (1989). Bifurcations and intrinsic chaotic and 1/f dynamics in an isolated perfused rat heart. Biological Cybernetics, 61, 371-378.
27. Zbilut, J. P., Thomasson, N., & Webber, C. L., Jr. (2002). Recurrence quantification analysis as a tool for nonlinear exploration of nonstationary cardiac signals. Medical Engineering & Physics, 24, 53-60.
28. Zimatore, G., Hatzopoulos, S., Giuliani, A., Martini, A., & Colosimo, A. (2002). Comparison of transient otoacoustic emission responses from neonatal and adults ears. Journal of Applied Physiology, 92, 2521-2528.
29. Zipes, D. P., Libby, P., Bonow, B. O., & Braunwald, E. (Eds.). (2005). Braunwald's heart disease. A textbook of cardiovascular medicine (7th ed.). Philadelphia: Elsevier Sanders.