Organizmo kompleksiškumo ypatybių tyrimas naudojant algebrinį duomenų kointegracijos metodą

Abstract

Athlete’s body is a complex dynamic system, and thus the use of only heuristic methods in assessments of functional state can not respond to all sports practice issues. There is a great need for new methods allowing to make various data analysis and solutions as to decrease the gap or mismatch between theory and the real-world requirements. Electrocardiography is widely used for diagnostics and assessment of functional state and the ECGsignal or the resulting sequence of parameters can be considered as time series. The purpose of this study was to define the features of functional state of highly skilled athletes while performing a dosed exercise test by using a new method (algebraic data cointegration) for assessment the dynamics of concatenation between parameters. Twelve elite Greek-Roman wrestlers performed morning and evening training sessions and participated in four assessments of functional state (before and after morning training session, after the evening training session and at the next day in the morning). The 12-lead standard ECGwas registered during the dosed exercise test (Roufier Exercise Test). The second-order matrix analysis (algebraic data cointegration approach) was used for assessment of the dynamics of concatenation between RR interval and QRS complex duration and between the JT interval and ST-segment depression. These indices were chosen as reflecting different levels of myocardial regulation and features of metabolism. Results obtained during the study revealed that the assessment of concatenation between two electrocardiographic indices provides qualitatively new information about features of athlete’s functional state. It is purposeful to apply the algebraic data cointegration approach for evaluation complexity features of athlete’s body functioning during exercising, it allows to reveal the new features of functional state. Assessments of the dynamics of functional indices interactions point out that the readiness of body to perform forthcoming workload starts before the performance of load. Trainability or functional preparedness of athlete is a significant factor determining peculiarities of body reactions to exercise tests. Body as the complex integral and dynamic system is characterized by the individual dynamics of various indices of the functional levels and their interactions during workloads, therefore the assessment of individual fractal and the tracing its dynamics is a proper and promising method in assessment the alterations caused by training.