Monitoring of hemodynamic changes depending on the physical load - case study

Abstract

The paper presents partial results of the research: Changes of Hemodynamics Indicated through Noninvasive Laboratory Method of Recording of Cardiovascular System in Dependence on Physical Strain during Studies of Students of Physical Education. We describe the possibilities of using this method to determine the effect of physical loading on the body. The method uses measurements of forces and moments resulting from cardiac activity using force platforms to measure the time from the moment of opening of the aortic valve to the shock pulse wave on abdominal bifurcation. We are building on previous research of this issue (Šeba & Kříž, 2008). In the initial hypothesis, we assume that changes in pulse wave velocity are analogous to the changes in the level of motoric performance indicated by an endurance motoric ergometry test and examination. Participants, who improve the level of fitness, also improve the pulse wave velocity and vice versa. For the examination of pulse wave velocity we chose the principle of balistokardiografie. The method for detecting physical fitness was an endurance motoric test. Physical loading took place over two semesters with increased frequency of weekly physical activities according to the curriculum of the field of physical education. Results: In this case study we describe four individuals, two men and two women with different levels of physical fitness. For the men and for the woman with lower baseline levels of physical fitness substantive improvements have been made in both variables (motoric tests and pulse wave) and on the contrary the man and the woman with higher initial levels of physical fitness have not improved in the monitored variables. Conclusion: The present case study in qualitative research indicated the possibility of application of this approach in our future work, when we increase the number of participants and repeat the experiment. This allows us to refine the work using the quantitative data analysis.