Cardiovascular System Modeling Using Windkessel Segmentation Model Based on Photoplethysmography Measurements of Fingers and Toes
عنوان مقاله: Cardiovascular System Modeling Using Windkessel Segmentation Model Based on Photoplethysmography Measurements of Fingers and Toes
شناسه ملی مقاله: JR_JMSI-12-3_002
منتشر شده در در سال 1401
شناسه ملی مقاله: JR_JMSI-12-3_002
منتشر شده در در سال 1401
مشخصات نویسندگان مقاله:
Ervin Msita Dewi - School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Bandung, Indonesia- Electrical Department, Politeknik Negeri Bandung, Bandung, Indonesia
Sugondo Hadiyoso - School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Bandung, Indonesia- School of Applied Science, Telkom University, Bandung, Indonesia
Tati Latifa Erawati Rajab Mengko - School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Bandung, Indonesia
Hasballah Zakaria - School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Bandung, Indonesia
خلاصه مقاله:
Ervin Msita Dewi - School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Bandung, Indonesia- Electrical Department, Politeknik Negeri Bandung, Bandung, Indonesia
Sugondo Hadiyoso - School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Bandung, Indonesia- School of Applied Science, Telkom University, Bandung, Indonesia
Tati Latifa Erawati Rajab Mengko - School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Bandung, Indonesia
Hasballah Zakaria - School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Bandung, Indonesia
Background: Photoplethysmography (PPG) contains information about the health condition of
the heart and blood vessels. Cardiovascular system modeling using PPG signal measurements can
represent, analyze, and predict the cardiovascular system. Methods: This study aims to make a
cardiovascular system model using a Windkessel model by dividing the blood vessels into seven
segments. This process involves the PPG signal of the fingertips and toes for further analysis to
obtain the condition of the elasticity of the blood vessels as the main parameter. The method is to
find the Resistance, Inductance, and Capacitance (RLC) value of each segment of the body through
the equivalent equation between the electronic unit and the cardiovascular unit. The modeling made
is focused on PPG parameters in the form of stiffness index, the time delay (Δt), and augmentation
index. Results: The results of the model simulation using PSpice were then compared with the results
of measuring the PPG signal to analyze changes in the behavior of the PPG signal taken from ten
healthy people with an average age of ۴۶ years, compared to ten cardiac patients with an average age
of ۴۸ years. It is found that decreasing ۲۰% of capacitance value and the arterial stiffness parameter
will close to cardiac patients’ data. Compared with the measurement results, the correlation of the
PPG signal in the simulation model is more than ۰.۹. Conclusions: The proposed model is expected
to be used in the early detection of arterial stiffness. It can also be used to study the dynamics of the
cardiovascular system, including changes in blood flow velocity and blood pressure.
کلمات کلیدی: Cardiovascular system, finger and toe photoplethysmography, photoplethysmography, stiffness index, Windkessel segmentation model
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1700824/