Dynamical Peculiarities of Concatenational Changes in Functional Cardiovascular Parameters
Research background and hypothesis. Traditional time series analysis techniques, which are also used for
the analysis of cardiovascular signals, do not reveal the relationship between the changes in the indices recorded
associated with the multiscale and chaotic structure of the tested object, which allows establishing short-and long-
term structural and functional changes.
Research aim was to reveal the dynamical peculiarities of interactions of cardiovascular system indices while
evaluating the functional state of track-and-field athletes and Greco-Roman wrestlers.
Research methods. Twenty two subjects participated in the study, their average age of 23.5 ± 1.7 years. During
the study standard 12 lead electrocardiograms (ECG) were recorded. The following ECG parameters were used in
the study: duration of RR interval taken from the II standard lead, duration of QRS complex, duration of JT interval
and amplitude of ST segment taken from the V standard lead.
Research results. Significant differences were found between inter-parametric connections of ST segment
amplitude and JT interval duration at the pre and post-training testing. Observed changes at different hierarchical
levels of the body systems revealed inadequate cardiac metabolic processes, leading to changes in the metabolic rate
of the myocardium and reflected in the dynamics of all investigated interactions.
Discussion and conclusions. It has been found that peculiarities of the interactions of ECG indices interactions
show the exposure of the functional changes in the body at the onset of the workload. The alterations of the functional
state of the body and the signs of fatigue, after athletes performed two high intensity training sessions per day, can be
assessed using the approach of the evaluation of interactions between functional variables. Therefore the evaluation
of the interactions of physiological signals by using time series analysis methods is suitable for the observation of
these processes and the functional state of the body.
Keywords: electrocardiogram, time series, functional state.
How to Cite
Each Article is an original contribution and not plagiarized/copied from any source/individual. It does not contravene on the rights of others and does not contain any libellous or unlawful statements and all references have been duly acknowledged at the appropriate places.
The article submitted only to Baltic Journal of Sport and Health Science, and it has not been previously published or submitted elsewhere for publication in a copyrighted publication.
The Author hereby authorizes the journal to edit, modify and make changes in the Articles/Research paper to make it suitable for publication in Baltic Journal of Sport and Health Science.
The Author hereby assigns all the copyright relating to the said Article/Research Paper to Baltic Journal of Sport and Health Science.
The Author has not assigned any kind of rights to the above said Article/Research Paper to any other person/Institute/Publication.
The Author agrees to indemnify Baltic Journal of Sport and Health Science against any claim legal and/or otherwise, action alleging facts which if true, constitute a beach of any of the foregoing warranties.