Małgorzata Żebrowska
supervisor: Jan Jacek Żebrowski
The analysis of adaptation processes in the living organisms can be considered on different functioning and organization levels. The scope of the study includes the identification of physiological markers that can be used as non-invasive diagnostic tools to describe the adaptation processes occurring during physical effort. The methodology assumes the development, testing and verification of the suitability of non-linear signal analysis methods used to characterize the couplings and the complexity of time series. The previous project have shown the usefulness of the symbolic entropy transfer (STE) in the assessment of the strength and direction of couplings between ergospirometric signals. The hypothesis whether the accumulation of exercise had an effect on the reduction of the ventilation feedback level, the fraction of exhaled oxygen and carbon dioxide was verified. Results indicate that coupling between selected variables is reduced in the second exercise test, which began after insufficient regeneration of the body. Another project investigated the hypothesis of the usefulness of the exponential function and the Hill model for the quantification of the short-term recovery phase following intense exercise on a bicycle ergometers. Parameters were introduced to characterize the dynamics of changes in oxygen uptake and the concentration of oxyhemoglobin in the blood of the working muscle. The developed tools make it possible to distinguish the efficiency of healthy people.