Recurrence Plots and Cross Recurrence Plots

Lecture Notes in Networks and Systems, 1008, 566–577p. (2024) DOI:10.1007/978-3-031-61415-6_48

Features of Biomedical Signal Processing Using Data Mining Elements

The paper considers the problem of intellectual analysis of biomedical data to obtain an additional information component about the stability of the functioning of the human body. The use of biomedical data in the form of time series allows obtaining an information component about changes in the state of a biological object over time. The development of adequate approaches for obtaining an additional informational component of available biomedical data will allow to evaluate the quantitative and qualitative characteristics of a biological object in order to make a decision regarding the stability of its functioning. The considered approach to the study of dynamic processes in the cardiovascular system suggests the use of recurrence plots and quantitative analysis of recurrence, which can be used to determine the features of changes in phase trajectories and to determine the moments of transition of different states at different moments of time. When processing biomedical signals, this approach can be especially useful, since the human body is a multicomponent and multidimensional dynamic system, and its behavior is determined by the interaction between components. Analysis of signals in physiological dynamic systems using recurrence plots complements the statistical methods of studying such systems and can provide additional information about their properties. The results of research into the functioning of the human cardiovascular system as a multidimensional dynamic system using the methods of recurrence quantitative analysis (RQA) in the MATLAB software environment are presented, you can also use other software packages Python, Excel. In addition, this method can be used to analyze other biological signals such as heart rate variability, electroencephalogram, phonocardiogram, etc. [1].