SciELO - Scientific Electronic Library Online

vol.48 issue1Social determinants of health in indigenous farmers of shelter ZenúKnowledge, attitudes and practice on human papilloma virus (HPV) and cervix cancer in women who were 30 years old or more, from a riverside neighborhood of Asuncion, (Bañado Sur). 2012 author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand




Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google


Revista de la Universidad Industrial de Santander. Salud

Print version ISSN 0121-0807


RODRIGUEZ V., Javier O. et al. New methodology in Holter evaluation based on dynamics systems and fractal geometry: confirmation of its applicability at clinical level. Rev. Univ. Ind. Santander. Salud [online]. 2016, vol.48, n.1, pp.27-36. ISSN 0121-0807.

Introduction: Dynamic systems theory provides quantitative measures of evolution of systems by building attractors. Spatial occupation measures of cardiac attractors in fractal Box Counting space differentiated normality and chronic disease from acute illness. Objective: To apply the developed methodology to evaluate mathematically the cardiac status of Holter with different pathologies, confirming the applicability of this methodology for the detection of acute dynamic by statistical measures of agreement regarding the Gold Standard. Methodology: 170 Holter, including normal, chronic and in acute states were evaluated. Simulations were constructed the entire dynamic based on the number of beats and the minimum and maximum frequencies every hour for 21 hours, to build attractors in the phase space. The fractal dimension of attractors is calculated, evaluating the spatial occupation in the Box Counting space, establishing which corresponds to normal setting and acute disease in accordance with previous mathematical results. Mathematical diagnosis was compared with conventional diagnostic Holter, taken as the Gold Standard, setting sensitivity, specificity, positive and negative predictive value and Kappa coefficient. Results: The fractal dimension failed to show quantitative differences while the methodology detected in all cases normal dynamics and acute state independently of the disease, achieving sensitivity, specificity, positive and negative predictive value of 100% and a Kappa 1. Conclusions: the ability of the physical-mathematical methodology to detect acute dynamic regardless of the associated pathology was confirmed, as well as an acausal self-organization of the system dynamics, which allows for assessment of clinical applicability measures.

Keywords : Heart rate; diagnosis; nonlinear dynamics; fractals.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )