“Development and study of wearable real-time hemodynamic parameter monitoring system” Doctoral Thesis

Author, Institution: Rolandas Girčys, Kaunas University of Technology

Dissertation is defended externally.

Science area, Field of science: Technological Sciences, Informatics Engineering – 07T

Scientific Consultant – Prof. Dr. Egidijus KAZANAVIČIUS (Kaunas University of Technology, Technological Sciences, Informatics Engineering – 07T)

The Doctoral Dissertation is available at the libraries of Kaunas University of Technology (K. Donelaičio St. 20, Kaunas) and Vilnius Gediminas Technical University (Saulėtekio al. 14, Vilnius).

Dissertation defence board of Informatics Engineering science field:
Prof. Dr. Habil. Rimvydas SIMUTIS (Kaunas University of Technology, Technological Sciences, Informatics Engineering – 07T) – chairman,
Prof. Dr. Eugenijus KANIUŠAS (Vienna University of Technology, Austria, Physical Sciences, informatics – 09P),
Prof. Dr. Algimantas KRIŠČIUKAITIS (Lietuvos University of Health Sciences, Biomedicine, Biophysics – 02B),
Assoc. Prof. Dr. Olga KURASOVA (Vilnius University, Technological Sciences, Informatics Engineering – 07T),
Prof. Dr. Dalius NAVAKAUSKAS (Vilnius Gediminas Technical University, Technological Sciences, Informatics Engineering – 07T).

Annotation:
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.