Mathematical law of cardiac dynamic systems: reduction of its evaluation time to 18 hours

Authors

  • Javier Oswaldo Rodríguez Velásquez Asociación Colombiana de Neurocirugía
  • Sandra Catalina Correa Herrera Asociación Colombiana de Neurocirugía
  • Alejandro Pizano Universidad de los Andes
  • Miguel Alberto Ronderos Fundación Cardioinfantil
  • Signed Esperanza Prieto Bohórquez Asociación Colombiana de Neurocirugía
  • Carol Godoy Fundación Cardioinfantil
  • Juan Alexander Rojas Fundación Cardioinfantil
  • Juan Benitez Dexa Diab Servicios Médicos
  • Dharma Rodríguez Correa Asociación Colombiana de Neurocirugía
  • Eliana Avilan Universidad Militar Nueva Granada

DOI:

https://doi.org/10.31053/1853.0605.v78.n3.25353

Keywords:

non-linear systems, diagnosis, ambulatory electrocardiography, fractals

Abstract

Introduction: Previously, a physical-mathematical law was developed for the evaluation of continuous electrocardiographic and Holter registers, with which all cardiac attractors were deduced and normality, pathological states and evolution between states were differentiated.

Method: There were taken 200 cardiac dynamics, 150 with different types of cardiac pathologies and 50 normal ones, to which the exponential law was applied in 18 and 21 hours. For this, a sequence of heart rates was simulated, with which the chaotic attractor was constructed. Next, the mathematical diagnosis was determined with the law based on the spatial occupation of the attractor, and the fractal dimension was calculated. Finally, statistical validation of the mathematical method in 18 hours was performed against the Gold Standard.

Results: Subjects with normal chaotic cardiac dynamics presented values ​​in the Kp grid between 205 and 384, whereas subjects with pathological dynamics presented values ​​between 61 and 191 in 18 hours. The evaluation of the concordance between the mathematical diagnosis in 18 hours and the conventional evaluation, taken as Gold Standard resulted in sensitivity and specificity values ​​of 100% and a Kappa coefficient of 1.

Conclusion: It was confirmed the clinical capacity of the law to diagnose objectively and with reproducibility in 18 hours.

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Author Biographies

Javier Oswaldo Rodríguez Velásquez, Asociación Colombiana de Neurocirugía

Médico. Director Grupo Insight. Hospital Universitario Nacional de Colombia. Bogotá, Colombia.

Sandra Catalina Correa Herrera, Asociación Colombiana de Neurocirugía

Psicóloga. Investigadora Grupo Insight. Hospital Universitario Nacional de Colombia. Bogotá, Colombia"

Alejandro Pizano, Universidad de los Andes

Médico. Cra. 

Miguel Alberto Ronderos, Fundación Cardioinfantil

Médico. Cardiólogo Pediatra. Fundación Cardioinfantil. Bogotá, Colombia.

Signed Esperanza Prieto Bohórquez, Asociación Colombiana de Neurocirugía

Física, Investigadora Grupo Insight. 

Carol Godoy, Fundación Cardioinfantil

Pediatra. Intensivista.

Juan Alexander Rojas, Fundación Cardioinfantil

Bacteriólogo, Investigador Grupo Insight.

Juan Benitez, Dexa Diab Servicios Médicos

Bacteriólogo. 

Dharma Rodríguez Correa, Asociación Colombiana de Neurocirugía

Investigadora. Grupo Insight. Hospital Universitario Nacional de Colombia. Bogotá, Colombia.

Eliana Avilan, Universidad Militar Nueva Granada

Médica. 

References

Devaney R. A first course in chaotic dynamical systems theory and experiments. Reading Mass: Addison Wesley; 1993.

Peitgen H, Jurgens H, Saupe D. Chaos and Fractals: New Frontiers of Science. New York: Springer-Verlag; 1992.

Mandelbrot B. The fractal geometry of nature. New York: W. H. Freeman and Company; 2000.

Mandelbrot B. ¿Cuánto mide la costa de Gran Bretaña? En: Mandelbrot B, editor. Los Objetos Fractales. Barcelona: Tusquets Eds. S.A.; 2000. p.27- 50.

Peitgen H, Jürgens H, Saupe D, Forewords. En: Peitgen H, Jürgens H, Saupe D, editors. Chaos and Fractals: New Frontiers of Science. New York: Springer-Verlag. 1992:1- 7.

Peitgen H, Jurgens H, Saupe D. Lenght, area and dimension. Measuring complexity and scalling properties. En: Peitgen H, Jürgens H, Saupe D, editors. Chaos and Fractals: New Frontiers of Science. New York: Springer-Verlag; 2004. p. 183-228.

Mandelbrot B. Árboles jerárquicos o de clasificación y la dimensión. En: Mandelbrot, editores. Los Objetos Fractales. Barcelona: Tusquets Eds. S.A.; 2000. p.161-66.

Burgos J. Zipf-scaling behavior in the immune system. Biosystems. 1996;39:227-32.

Organización Mundial de la Salud. [Internet] Enfermedades cardiovasculares; c2017 [consultado el 25 de enero del 2019]. Centro de prensa. Disponible en: http://www.who.int/mediacentre/factsheets/fs317/es/index.html

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, et al. Part 8: adult advanced cardiovascular life support: 2010 American Heart Association Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care. Circulation. 2010 Nov 2;122(suppl3):S729–S767.

Al Rahhal M, Bazi Y, Al Hichri H, Alajlan N, Melgani F, Yager R. Deep learning approach for active classification of electrocardiogram signals. Information Sciences. 2013 Jul 1;345:340-54.

Bayés A. Muerte súbita. Revista Española de cardiología. 2012 Nov; 65(11):1039-52.

Nolan J, Batin PD, Andrews R, Lindsay SJ, Brooksby P, Mullen M, et al. Prospective study of heart rate variability and mortality in chronic heart failure: results of the United Kingdom Heart Failure Evaluation and Assessment of Risk Trial (UK – heart). Circulation. 1998 Oct 13; 98: 1510-6.

Walleczek J. Self-Organization Biological Dynamics and Nonlinear control. Cambridge, U.K: Cambridge Univ. Press; 2000.

Goldberger A. Heartbeats, hormones, and Health - Is variability the spice of life? Am J Respir Crit Care Med. 2001 May; 163(6): 1289-90.

Goldberger AL, Amaral L, Hausdorff J, Ivanov P, Peng CK, Stanley H. Fractal dynamics in physiology: Alterations with disease and aging. Proc Natl Acad Sci U S A. 2002 Feb 19; 99(Suppl 1): 2466–72.

Rodríguez J, Prieto P, Mendoza F, Pinilla L, Correa C, Soracipa Y, et al. Evaluación probabilista de la dinámica cardiaca arrítmica con y sin metoprolol. CES Med 2017; 31(2):144-154.

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

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

Garfinkel A. A mathematics for physiology. Am. J. Physiol. 1983 Oct;245:R455–66.

Schumacher A. Linear and nonlinear approaches to the analysis of R–R interval variability. Biol. Res. Nurs. 2004 Jan;5(3):211–21.

Scaffeta N, Moon R, West B. Fractal Response of Physiological Signals to Stress Conditions, Environmental Changes, and Neurodegenerative Diseases. Complexity. 2007 May 10;12(5):12-7.

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 Jan 4-11;101:47-53.

Einstein A. Sobre la teoría de la relatividad y otras aportaciones científicas. Madrid: Sarpe; 1983. p. 23-32.

Correa C, Rodríguez J, Prieto S, Álvarez L, Ospino B, Munévar A, et al. Geometric diagnosis of erythrocyte morphophysiology. J. Med. Med. Sci. 2012 Nov; 3(11): 715-20.

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 Sep;10:1.

Rodríguez J, Prieto S, Ramírez L. A novel heart rate atractor for the prediction of cardiovascular disease. Informatics in medicine. 2019; 15(100174):1-9.

Soracipa Y, Rodríguez J, Castillo M. Confirmación diagnóstica de la evaluación del trazado de la monitoria fetal a partir de la probabilidad y la relación S/k de la entropía. Momento. 2018 Jul-Dic; 57:27-40.

Rodríguez J, Sánchez M, Barrios F, Soracipa Y. Geometrical Evaluation of Cervical Cells. Fractal and Euclidean Diagnostic Methodology of Clinical Application. Journal of Biosciences and Medicines. 2018 March;6:111-22.

Rodríguez J, Prieto S, Correa C, Melo M, Domínguez D, Olarte N, et al. Prediction refinement of CD4 cells number based on sets and probability theory. Current HIV Research. 2018; 16: 416-24.

Rodríguez J, Berna P, Prieto P, Correa C, Álvarez L, Pinilla L, et al. Predicción de unión de péptidos de Plasmodium falciparum al HLA clase II. Probabilidad, combinatoria y entropía aplicadas a las proteínas MSP-5 y MSP-6. Archivos de alergia e inmunología clínica. 2013 Jan;44(1):7-14.

Rodríguez J. Método para la predicción de la dinámica temporal de la malaria en los municipios de Colombia. Rev Panam Salud Pública. 2010;27(3):211-8.

Rodríguez J. Dynamical systems applied to dynamic variables of patients from the Intensive Care Unit (ICU). Physical and mathematical Mortality predictions on ICU.J. Med. Med. Sci. 2015 Nov; 6(8): 102-108.

Published

2021-08-23

How to Cite

1.
Rodríguez Velásquez JO, Correa Herrera SC, Pizano A, Ronderos MA, Prieto Bohórquez SE, Godoy C, Rojas JA, Benitez J, Rodríguez Correa D, Avilan E. Mathematical law of cardiac dynamic systems: reduction of its evaluation time to 18 hours. Rev Fac Cien Med Univ Nac Cordoba [Internet]. 2021 Aug. 23 [cited 2024 May 15];78(3):243-8. Available from: https://revistas.unc.edu.ar/index.php/med/article/view/25353

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Section

Original Papers