| Abstract [eng] |
This paper provides analysis of wearable hemodynamic parameter monitoring systems, parameter measurement and signal processing methods implemented in those systems, and resources used for calculation and energy consumption. The aim of the scientific research is development and study of arterial pulse wave analysis methods used for hemodynamic parameter measurement, as well as development and study of a real-time continuous (24/7) hemodynamic parameter monitoring system with a noise-resistant signal input subsystem. If both the mathematical models for hemodynamic parameter calculation, as well as the photoplethysmographic signal input subsystem developed by the author are implemented in wearable devices, noise-resistance of the system increases, energy consumption and computing resources are lowered, whereas the duration of continuous monitoring is extended. Verification of the developed models and the algorithm of the photoplethysmographic signal input subsystem was carried out in MatLab environment. Prototype version of a wearable real-time hemodynamic parameter monitoring system, with successfully implemented models and algorithms created by the author, was developed. An experimental study of the prototype was carried out. |
