Article · Trudy Universiteta · March 30, 2024

Method of Automatic Detection of Pulse Wave Characteristic Points

Alexey Savostin, Dmitriy Ritter, Galina Savostina, Abay Koshekov, Alexandr Largin

Abstract

The high prevalence of cardiovascular diseases (CVD) requires the development of new methods for their timely preliminary diagnosis. One of the promising approaches in this direction is the analysis of photoplethysmogram (PPG). The article presents an algorithmic method of digital processing of the PPG signal for automatic determination of the position of characteristic points on the pulse wave. This task is relevant, as amplitude and time characteristics of the location of characteristic points allow obtaining information about the state of the cardiovascular system (CVS). The developed method is characterised by low sensitivity to the variability of the signal shape due to the application of differentiation and interpolation procedures. The proposed solution can be used for creation of modern technical means of preliminary diagnostics of CVS.

Non-Invasive Vital Sign MonitoringCardiovascular Health and Disease PreventionHeart Rate Variability and Autonomic Controlphotoplethysmogramautomated detectioncardiovascular disease diagnosis

Method of Automatic Detection of Pulse Wave Characteristic Points

Abstract

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