https://www.mdu.se/

mdu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Estimating Physiological Parameters in Various Age Groups: Windkessel 4 Element Model and PPG Waveform Analysis Approach
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-4841-2488
2023 (English)In: IEEE 4th International Multidisciplinary Conference on Engineering Technology, IMCET 2023, IEEE, 2023, p. 194-197Conference paper, Published paper (Refereed)
Abstract [en]

Non-invasive monitoring of cardiovascular health through photoplethysmography (PPG) waveforms has emerged as a crucial area of research. The Windkessel 4-Element (WK4) model is a mathematical approach used to estimate key physiological parameters related to cardiovascular health, including arterial compliance, peripheral resistance, inertance, and total arterial resistance. This study aimed to evaluate key physiological parameters associated with cardiovascular health using the WK4 model, leveraging real-life PPG waveform data obtained from volunteers across three distinct age groups. To achieve this, an algorithm was developed to automatically determine optimal parameter values for each volunteer. The results revealed a mean correlation coefficient of 0.96 between the automatically generated waveforms by the algorithm and the actual real-life PPG waveforms, indicating robust agreement. Notably, only the total arterial resistance parameter exhibited significant differences among the age groups, suggesting that the algorithm holds promise for detecting agerelated changes in cardiovascular health. These findings emphasize the potential for the development of a non-invasive tool to assess cardiovascular health status and enhance healthcare outcomes. Furthermore, they underscore the capability of the developed algorithm as a non-invasive means to evaluate various aspects of cardiovascular physiology. Additionally, the versatility of this algorithm opens doors for its application in educational settings, promoting knowledge advancement, empowering research endeavors, and facilitating advancements in the field.

Place, publisher, year, edition, pages
IEEE, 2023. p. 194-197
Keywords [en]
Arterial properties, Cardiovascular health, Hemodynamic parameters, Photoplethysmography, Windkessel 4 Element model, Parameter estimation, Physiological models, Waveform analysis, Age groups, Arterial property, Element models, Physiological parameters, Property, Waveforms, Windkessel
National Category
Cardiac and Cardiovascular Systems
Identifiers
URN: urn:nbn:se:mdh:diva-65796DOI: 10.1109/IMCET59736.2023.10368236Scopus ID: 2-s2.0-85182926822ISBN: 9798350313826 (print)OAI: oai:DiVA.org:mdh-65796DiVA, id: diva2:1833055
Conference
2023 IEEE 4th International Multidisciplinary Conference on Engineering Technology, IMCET 2023, Beirut, Lebanon, 12-14 December, 2023
Available from: 2024-01-31 Created: 2024-01-31 Last updated: 2024-01-31Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Abdelakram, HafidAbdullah, Saad

Search in DiVA

By author/editor
Abdelakram, HafidAbdullah, Saad
By organisation
Embedded Systems
Cardiac and Cardiovascular Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 46 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf