Javier RodrÃÆÃâÃâÃÂguez, Signed Prieto, DarÃÆÃâÃâÃÂo DomÃÆÃâÃâÃÂnguez, Martha Melo, FernÃÆÃâÃâán Mendoza, Catalina Correa, Yolanda Soracipa, Laura Pinilla, Juan Pardo, Nathalia RamÃÆÃâÃâÃÂrez
Heart dynamic characterized within the context of dy namical systems theory allows differentiating and predicting normal cardiac states, different levels of disease, as well as evolution towards disease. T he purpose of this study is to apply a previously deve loped methodology to 450 electrocardiographic registers to establish its effectiveness and compar ing it with clinical conventional diagnosis. The methodology was applied to 50 normal Holters and 40 0 Holters with different pathologies. After masking the diagnostic conclusions, the minimum and maximum heart rate and the total number of beats each hour were used to construct an attracto r for each Holter in a phase space, by means of which the probability, entropy and their proportion s were evaluated in ordered pairs of heart rate. Measures were compared with the physical and mathem atical parameters of normality and disease previously settled down. Diagnostic conclusions and dates from medical history of each Holter were unmasked, to calculate sensibility, specificity and coefficient Kappa respect to Gold-standard. This methodology allowed mathematically differentiating the normal, acute and chronic disease dynamics and the evolution among these states. Sensibility a nd specificity of 100% were obtained and Kappa coefficient was equal to 1, demonstrating its diagn ostic utility.
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