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Fractal Dimensions in Evaluation of Heart Function Parameters during Physical Investigations
Author(s) -
Alfonsas Vainoras,
Dovilė Ašeriškytė,
Jonas Poderys,
Zeas Navickas
Publication year - 2018
Publication title -
baltic journal of sport and health sciences
Language(s) - English
Resource type - Journals
eISSN - 2538-8347
pISSN - 2351-6496
DOI - 10.33607/bjshs.v3i57.641
Subject(s) - fractal dimension , minkowski–bouligand dimension , fractal , hausdorff dimension , correlation dimension , dimension (graph theory) , set (abstract data type) , packing dimension , effective dimension , mathematics , computer science , pure mathematics , mathematical analysis , programming language
In last two decades the theory of complex systems made big steps in its development. The new methods for integral situations’ evaluations were created. Beginning from F. Hausdorff in 1919, the set of fractal dimensions was proposed to evaluate systems’ complexity. Now F. Hausdorff’s dimension, A. Kolmogorov’s integral correlation dimension, information dimension, correlation dimension and many others are widely used. They are used in physics, medicine, biology, astronomy and all other sciences. The question still exists which, when to use and what additional information it will provide. The aim of this work was to explore the behavior of a few well known fractal dimensions during physical investigations of healthy persons, sportsmen and ischemic heart diseased patients with the aim to evaluate the heart function. The studied fractal dimensions can be used for the evaluation of a sportsman’s functional state. The endurance-trained sportsman has the highest values of fractal dimensions. Information dimension detects new unstudied information in sport and clinical medicine. It separates out the investigated persons according to gender, disease and physical activity. But information dimension does not depend on age in the investigated groups of asymptomatic persons (men and women).

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