Original research

Significance of fractal approach to scientific discovery in the context of interrelations between natural sciences and medicine

* Corresponding author

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Aims

The aim of the paper is to show the significance of the fractal approach to scientific discovery in the context of interrelations between the modern natural sciences and medicine in order to increase an efficiency of applications of most advanced medical devices.

Materials and methods

Herein used is the fractal approach as methodology and logics of scientific discovery as a fundamental component of scientific cognition that allows demonstrating an objective interrelation between modern natural sciences and medicine, first of all, cardiology. Also used are the methods for mathematical modeling of measuring and computing systems as methodology for biomedical signals studies.

Results

For the first time demonstrated is the role of fractal approach as methodology and logics of scientific discovery, which is the basis of the scientific cognition, that allows detecting the interrelations between the modern natural sciences and medicine, cardiology, in particular. For the first time denoted is an area of possibilities of applications of the methods for mathematical modeling of measuring and computing systems as a methodology for studying biomedical signals (electrocardiosignals).

Conclusion

The way out of the crisis in medicine is offered herein; prospects for overcoming the crisis are discussed in connection with the use of different methodologies such as tensor methodology, quantum mechanics, artificial intelligence, transdisciplinary research and others.

Imprint

Vitaly S. Polikarpov, Elena V. Polikarpova. Significance of fractal approach to scientific discovery in the context of interrelations between natural sciences and medicine. Cardiometry; No.10; May 2017; p.80-85; DOI:10.12710/cardiometry.2017.10.8085; Available from: www.cardiometry.net/no10-may-2017/fractal-approach

Keywords

Methodology,  Logics,  Fractal,  Chaos,  Dynamic system,  Mathematical modeling,  Natural science,  Medicine,  Biomedical signal,  Electrocardiosignal,  Medicine 3
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