Mi SciELO
Servicios Personalizados
Articulo
Indicadores
- Citado por SciELO
Links relacionados
- Similares en SciELO
Compartir
Revista Habanera de Ciencias Médicas
versión On-line ISSN 1729-519X
Resumen
RODRIGUEZ, Javier; OLIVEROS, Diego; CORREA, Catalina y PRIETO, Signed. Clinical applicability of the diagnostic software of cardiac dynamics based on the Zipf-Mandelbrot law. Rev haban cienc méd [online]. 2019, vol.18, n.4, pp. 624-633. ISSN 1729-519X.
Introduction:
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.
Objective:
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.
Material and Methods:
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.
Results:
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.
Conclusions Methods:
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.
Palabras clave : Heart rate; fractals; nonlinear dynamics; Electrocardiography Ambulatory; diagnosis.