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The development of a mathematical law for chaotic dynamical systems has allowed to develop a methodology for the mathematical evaluation of cardiac dynamics which quantifies the differen­ces between normality and disease, as well as their evolution. Material and methods: 70 Holter records, 60 with cardiac arrhythmias and 10 normal were taken. From the simulation values of consecutive heart rates, an attractor was built for each Holter. The space occupancy of each at­tractor and its fractal dimension were measured. Mathematical evaluation was applied to each Holter and then the sensitivity, specificity and Kappa coefficient of this evaluation with respect to the Gold Standard was calculated. Results: The cases conventionally diagnosed as arrhythmias presented space occupancy between 29 and 198 for Kp grid, and normal cases had higher values at 200. The sensitivity and specificity were 100 % and Kappa coefficient was 1. Conclusion: The power law quantifies differences between arrhythmias and normal dynamics, assessing the evo­lution dynamics towards normality or to disease, this was evidenced by an increase or decrease of the space occupied by the attractor. 

Rodríguez, J., Prieto, S., Correa, C., Soracipa, Y., Cardona, D. M., Prieto, I., … Velasco, A. (2015). Mathematical Law for Evaluating Arrhythmic Cardiac Dynamics: Application for the Arrhythmia Diagnosis. Revista Ciencias De La Salud, 13(03), 369–381. https://doi.org/10.12804/revsalud13.03.2015.04

Peitgen H, Jurgens H, Saupe D. Strange attractors, the locus of chaos. En: Peitgen H, Jurgens H, Saupe D. (Eds.). Chaos and Fractals: New Frontiers of Science. New York: Springer-Verlag; 1992. p. 655-768.

Mandelbrot B. The fractal geometry of nature. New York: Freeman and Company; 1983.

Mandelbrot B. How Long is the Coast of Britain? Statistical Self-Similarity and Fractional Dimension. Science. 1967; 156:636-38.

Mandelbrot B. Structure formelle des textes et comunication. World. 1954;10:1-27.

Burgos JD, Moreno-Tovar P. Zipf-scaling behavior in the immune system. Biosystems 1996;39:227-32.

Burgos JD. Fractal representation of the immune B cell repertoire. Biosystems 1996;39:19-24.

oms. Enfermedades Cardiovasculares [internet]. 2011 [citado 2014 ago 8]. Disponible en: http://www. who.int/mediacentre/factsheets/fs317/es/index.html

Go A, Mozaffarian D, Roger V, Benjamin E, Berry J, Borden W, et al. Heart Disease and Stroke Sta¬tistics - 2013 Update A Report From the American Heart Association. Circulation 2013;127:e6-e245.

Prieto S, Young P, Ceresetto JM, Bullorsky EO. Terapia anticoagulante en fibrilación auricular. Medicina 2011;71(3):274-82.

Neumar RW, Otto CW, Link MS, Kronick SL, Shuster M, Callaway CW, Kudenchuk PJ, et al. Part 8: adult advanced cardiovascular life support: 2010 American Heart Association Guidelines for Cardio-pulmonary Resuscitation and Emergency Cardiovascular Care. Circulation 2010;122(suppl3):S729-67.

Goldberger A, Amaral L, Hausdorff JM, Ivanov P, Peng Ch, Stanley HE. Fractal dynamics in physiology: alterations with disease and aging. PNAS 2002;99:2466-72.

Khoo MC. Modeling of autonomic control in sleep-disordered breathing. Cardiovasc Eng 2008;8:30-41.

Baumert M, Baier V, Voss A. Estimating the complexity of heart rate fluctuations an approach based on compression entropy. Noise Lett 2005; 4:L557-63.

Beckers F, Verheyden B, Aubert AE. Aging and nonlinear heart rate control in a healthy population. Am J Physiol Heart Circ Physiol. 2006;290:H2560-70.

Bär KJ, Boettger MK, Koschke M, Schulz S, Chokka P, Yeragani, VK, et al. Non-linear complexity measures of heart rate variability in acute schizophrenia. Clin Neurophysiol. 2007;118:2009-15.

Eckmann JP, Ruelle D. Ergodic theory of chaos and strange attractors. Rew Mod Physics. 1985;7:617-56.

Babyloyantz A, Destexhe A. Is the normal heart a periodic oscillator? Biol Cybern 1988;58:203-11.

Grassberger P, Procaccia I. Measuring the strangeness of strange attractors. Physica 1983;9D:189-208.

Peng CK, Havlin S, Stanley HE, Goldberger AL. Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series. Chaos 1995;5,82-7.

Mäkikallio TH, Hoiber S, Kober L, Torp-Pedersen C, Peng CK, Goldberger AL, et al. Fractal analysis of heart rate dynamics as a predictor of mortality in patients with depressed left ventricular function after acute myocardial infarction. Am J Cardiol. 1999;83:836-9.

Norris PR, Anderson SM, Jenkins JM, Williams AE, Morris JA. Heart rate multiscale entropy at three hours predicts hospital mortality in 3154 trauma patients. Shock 2008;30:17-22.

Kurths J, Voss A, Saparin P, Witt A, Kleiner HJ, Wessel N. Quantitative analysis of heart rate variability. Chaos 1995;5:88-94.

Guzzetti S, Borroni E, Garbelli PE, Ceriani E, Della Bella P, Montano N, et al. Symbolic dynamics of heart rate variability: a probe to investigate cardiac autonomic modulation. Circulation 2005;112:465-70.

Maestri R, Pinna GD, Balocchi R, D’Addio G, Ferrario M, Porta A, et al. Clinical correlates of non-linear indices of heart rate variability in chronic heart failure patients. Biomed. Tech. (Berl.) 2006;51:220-23.

Huikuri HV, Mäkikallio T, Peng CK, Goldberger AL, Hintze U, Møller M, et al. Fractal correlation properties of R - R interval dynamics and mortality in patients with depressed left ventricular function after and acute myocardial infarction. Circulation 2000;101:47-53.

Juha S. PerkiöMä Ki, Timo H, Mäkikallio, Huikuri H. Fractal and complexity measures of heart rate variability. Clin Exp Hypertens 2005;2-3:149-58.

Voss A, Schulz S, Schroeder R, Baumert M, Caminal P. Methods derived from nonlinear dynamics for analysing heart rate variability. Phil Trans R Soc. 2009;367A:277-96.

Perkiömäki J, Mäkikallio TH, Huikuri HV. Fractal and Complexity Measures of Heart Rate Variability. Clin Exp Hypertens 2005;27(2-3):149-58.

Rodríguez J. Mathematical law of chaotic cardiac dynamic: Predictions of clinic application. J Med Sci 2011; 2(8):1050-59.

Rodríguez J, Correa C, Melo M, Domínguez, D, Prieto S, Cardona DM, et al. Chaotic cardiac law: De-veloping predictions of clinical application. J Med Med Sci. 2013;4(2):79-84.

Rodríguez J, Narváez R, Prieto S, Correa C, Bernal P, Aguirre G, Soracipa Y, Mora J. The mathematical law of chaotic dynamics applied to cardiac arrhythmias. J Med Med Sci. 2013;4(7):291-300.

Einstein A. Sobre la teoría de la relatividad y otras aportaciones científicas 3.a ed. Madrid: Sarpe ; 1983.

Rodríguez J, Prieto S, Correa C, Bernal P, Puerta G, Vitery S, et al. Theoretical generalization of normal and sick coronary arteries with fractal dimensions and the arterial intrinsic mathematical harmony. BMC Medical Physics. 2010;10:1-6.

Rodríguez J, Prieto S, Correa C, Posso H, Bernal P, Puerta G, et al. Generalización Fractal de Células Preneoplásicas y Cancerígenas del Epitelio Escamoso Cervical. Una Nueva Metodología de Aplicación Clínica. Rev Fac Med 2010;18(2):173-81.

Rodríguez J. Entropía Proporcional de los Sistemas Dinámicos Cardiacos: Predicciones físicas y mate-máticas de la dinámica cardiaca de aplicación clínica. Rev Colomb Cardiol. 2010;17:115-29

Feynman RP, Leighton RB, Sands M. Física. Wilmington: Addison-Wesley Iberoamericana, S. A.; 1964.

Tolman R. Principles of statistical mechanics. New York: Dover Publications; 1979.

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