N.O. Antipov1

1 St. Petersburg State Electrotechnical University "LETI" named after V.I. Ulyanov (Lenin) (St. Petersburg, Russia)
1 jobber1994@mail.ru

Current approaches to assessing heart rate variability during rehabilitation, which typically use traditional linear methods, have limited sensitivity when used to analyze non-stationary and non-linear dynamic systems characteristic of the body's recovery processes. For this reason, it is difficult to identify minor but clinically important patterns of cardiac regulation. This limitation reduces the accuracy of predicting the effectiveness of rehabilitation and the possibility of providing personalized therapy.

The aim of the work – development of a method for studying and assessing the dynamics of changes in heart rate variability parameters for patients undergoing rehabilitation processes.

A scientific justification of the possibility of using a set of nonlinear dynamics methods to assess changes during rehabilitation was carried out. A set of methods was proposed, with the help of which parameters were obtained for assessing the results of rehabilitation processes. The values obtained before and after rehabilitation were assessed using the effect size parameter. The most sensitive parameters turned out to be the values of the width, length and area of the Poincaré cloud – the greatest effects were achieved for these parameters.

The concept of using nonlinear dynamics methods for assessing HRV proposed and described in the work allows increasing the accuracy of monitoring rehabilitation processes by analyzing implicit patterns of cardiovascular activity regulation. The results of the study can be integrated into clinical practice for personalized assessment of the impact of rehabilitation on the patient.

Antipov N.O. Evaluation of the dynamics of changes in heart rate variability indicators using a set of nonlinear dynamics methods. Biomedicine Radioengineering. 2025. V. 28. № 5. P. 192–196. DOI: https:// doi.org/10.18127/ j15604136-202505-37 (In Russian)

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