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- Abdelakram, HafidMälardalens universitet,Inbyggda system (författare)
Estimating Physiological Parameters in Various Age Groups : Windkessel 4 Element Model and PPG Waveform Analysis Approach
- Artikel/kapitelEngelska2023
Förlag, utgivningsår, omfång ...
- IEEE,2023
- printrdacarrier
Nummerbeteckningar
- LIBRIS-ID:oai:DiVA.org:mdh-65796
- https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-65796URI
- https://doi.org/10.1109/IMCET59736.2023.10368236DOI
Kompletterande språkuppgifter
- Språk:engelska
- Sammanfattning på:engelska
Ingår i deldatabas
- SwePubSwePub
Klassifikation
Anmärkningar
- 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.
Ämnesord och genrebeteckningar
- MEDICIN OCH HÄLSOVETENSKAP Klinisk medicin Kardiologi hsv//swe
- MEDICAL AND HEALTH SCIENCES Clinical Medicine Cardiac and Cardiovascular Systems hsv//eng
- 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
Biuppslag (personer, institutioner, konferenser, titlar ...)
- Abdullah, SaadMälardalens universitet,Inbyggda system(Swepub:mdh)sah02 (författare)
- Mälardalens universitetInbyggda system (creator_code:org_t)
Sammanhörande titlar
- Ingår i:IEEE 4th International Multidisciplinary Conference on Engineering Technology, IMCET 2023: IEEE, s. 194-1979798350313826
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