Algorithm for Assessing Cardiovascular Activity

This article describes an algorithmic complex for analyzing the parameters of the CVS and its activity. The undoubted advantage of this complex is the ability to analyze additional parameters of electrocardiograms and photoplethysmograms, such as blood pressure and cardiac output. The use of a large amount of additional diagnostic data, the use of modern algorithms, makes it possible to identify the risk of developing arterial hypertension (AH), as well as the possibility of developing heart failure. This article also includes a description of generally accepted signal processing algorithms. The effectiveness of application algorithms was evaluated using a verified database of signals and pathological forms. This article also presents an analysis of the main issues that appear when identifying the characteristic points of a pulse wave (PW) signal. To process synchronous recordings of pulse wave signals, blood pressure and electrocardiogram (ECG) in the Matlab environment, a software module has been developed that provides the possibility of synchronous signal construction, selection of characteristic points of these signals, calculation of parameters of cardiovascular activity, an indicator of the pulse wave propagation time and an assessment of its variability, calculation of stroke volume, as well as an assessment of the risk of developing heart failure.