G. Uskovas “Modelling seismocardiographic signals and their application in heart rate monitoring systems” doctoral dissertation defence

Author, Institution: Gediminas Uskovas, Kaunas University of Technology

Science area, field of science: Technological Sciences, Electrical and Electronics Engineering, T001

Research consultant: Prof. Dr. Algimantas Valinevičius (Kaunas University of Technology, Electrical and Electronics Engineering, T001)

Dissertation Defence Board of Electrical and Electronic Engineering Science Field:
Prof. Dr. Saulius Gudžius (Kaunas University of Technology, Technological Sciences, Electrical and Electronics Engineering, T001) – chairperson
Prof. Dr. Algirdas Baškys (Vilnius Gediminas Technical University, Technological Sciences, Electrical and Electronic Engineering, T001)
Prof. Dr. Adam Idzkowski (Bialystok University of Technology, Poland, Technological Sciences, Electrical and Electronics Engineering, T001)
Prof. Dr. Vaidotas Marozas (Kaunas University of Technology, Technological Sciences, Electrical and Electronics Engineering, T001)
Prof. Dr. Arminas Ragauskas (Kaunas University of Technology, Technological Sciences, Electrical and Electronics Engineering, T001)

Dissertation is defended externally

Dissertation defence meeting will be at Rectorate Hall of Kaunas University of Technology (K. Donelaičio 73-402, Kaunas)

The doctoral dissertation is available at the library of Kaunas University of Technology (Gedimino 50, Kaunas) and on the internet: G. Uskovas el. dissertation.pdf

© G. Uskovas, 2025 “The text of the thesis may not be copied, distributed, published, made public, including by making it publicly available on computer networks (Internet), reproduced in any form or by any means, including, but not limited to, electronic, mechanical or other means. Pursuant to Article 25(1) of the Law on Copyright and Related Rights of the Republic of Lithuania, a person with a disability who has difficulties in reading a document of a thesis published on the Internet, and insofar as this is justified by a particular disability, shall request that the document be made available in an alternative form by e-mail to doktorantura@ktu.lt.”

Annotation: This dissertation investigates the seismocardiogram (SCG) signal, which belongs to the group of mechanocardiographic signals, alongside ballistocardiogram, gyrocardiogram, and forcecardiogram. These signals capture mechanical vibrations of cardiac activity transmitted through body tissues without direct skin contact, enabling non-invasive heart monitoring methods that provide valuable information on valve function and support the diagnosis of cardiac pathologies. Considering an ageing population and the growing prevalence of cardiovascular diseases, it is increasingly important to develop solutions for monitoring heart activity in non-clinical environments. This study analyses seismocardiogram signal modelling and its application in heart rate monitoring systems under real-world conditions. A mathematical model was developed to simulate seismocardiogram signals affected by noise disturbances and motion artefacts. Adaptive filtering algorithms were applied to enhance signal quality and reduce nose. Experiments were conducted in both resting and driving conditions to evaluate the feasibility of the method outside clinical settings. The findings contribute to the advancement of non-invasive health monitoring technologies, support the implementation of SCG in mobile systems, and provide a foundation for developing open signal databases for scientific research and innovative diagnostic solutions.