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<p><strong>Introduction</strong>: The Zipf-Mandelbrot law allowed the development of a methodology that makes quantitative distinctions between acute and normal cardiac dynamics in an objective and reproducible way.</p><p><strong>Objective</strong>: To confirm the diagnostic capacity and clinical utility of the software that automates a methodology based on the Zipf-Mandelbrot law that performs objective diagnoses of the cardiac dynamics.</p><p><strong>Material and</strong> <strong>Methods: </strong>A blind study was performed with 80 Holter records, 20 normal and 60 with pathological findings. The software organized heart rates in a hierarchical way through their frequencies of occurrence in ranges of 15 beats per min, linearized data, and obtained statistical fractal dimension which allowed the realization of the complexity analysis.</p><p><strong>Results:</strong> The statistical fractal dimension of the normal Holter records was found between 0,720 and 0,913, and exhibited values between 0,454 and 0,665 in the abnormal Holter records. A Kappa coefficient of 1, and specificity and sensitivity values of 100% were found.</p><p><strong>Conclusions</strong>: The clinical utility of the Software that automates the methodology based on the Zipf-Mandelbrot law was confirmed, which allowed to evaluate the behavior of normal and acute cardiac systems.</p><p><strong>Keywords</strong>: Heart rate, fractals, nonlinear dynamics, Electrocardiography Ambulatory, diagnosis.</p>