Application of Two-Element Windkessel Model on Heart Rate Simulation Using Biomodelling Approach

Authors

  • Zakia Lutfiyani Politeknik Raflesia
  • Cut Fiarni Institut Teknologi Harapan Bangsa

DOI:

https://doi.org/10.61769/telematika.v19i2.694

Keywords:

biomodeling, heartbeat, Windkessel Model, heart surgery, pressure changes, simulator, virtual reality

Abstract

Starting from the creation of the CABbaGe Simulator[1] (Coronary Artery Bypass Grafting) as a means of learning media for coronary heart surgery with the concept of virtual reality, the design of heart rate biomodeling begins with an approach to changes in pulse pressure in the mesh area forming the heart object which results in changes in heart volume and ends in changes in heart compressive force. From the design, it is explored to get better results related to heart rate models using the Two-Element Windkessel Model, which describes the dynamics of pressure and blood flow in the cardiovascular system and is more accurate in describing more complex blood flow dynamics. From the test results, it can be concluded that implementing the Two-Element Windkessel Model is effective enough to model and understand the basic mechanics of blood flow in the cardiovascular system. In addition, the algorithm of this modeling is simple enough to facilitate its application in pulse modeling simulation as part of the effort to help cardiovascular surgery learners better analyze the heart's performance.

Author Biographies

Zakia Lutfiyani, Politeknik Raflesia

Electrical Engineering Study Program

Cut Fiarni, Institut Teknologi Harapan Bangsa

Information System Study Program

References

Rokom, “Penyakit Jantung Penyebab Utama Kematian, Kemenkes Perkuat Layanan Primer,” 29 Sep 2022. [Daring]. Tesedia: https://sehatnegeriku.kemkes.go.id/baca/rilis-media/20220929/0541166/penyakit-jantung-penyebab-utama-kematian-kemenkes-perkuat-layanan-primer [28 Juli 2024].

PJN, “Laporan Tahunan Rumah Sakit Jantung dan Pembuluh Darah Harapan kita”, Jakarta, 2020. [Daring]. Tersedia: https://www.pjnhk.go.id/storage/uploads/informasi/laporan-tahunan/dB8vsFnK4PP9RwMIS3LhN9csY0ysNlNPPCVgbJRO.pdf [01 Agustus 2024].

A. Gunawan, C. Fiarni, and G. Lawalata, “Business process learning system,” dalam International Conference on Human Capital and Knowledge Management, Bandung , 2015.

A. Wuryandarn dan H. Hindersah, “CABbaGe simulator design as learning media of heart coronary surgeon in virtual reality concept,” dalam The International Conference on Electrical Engineering and Informatics, Bandung, 2011.

A. Tsanas, J. Y. Goulermas, V. Vartela, D. Tsiapras, G. Theodorakis, A. C. Fisher, dan S. Petros, “The Windkessel model revisited: a qualitative analysis of the circulatory system,” Medical Engineering & Physics, vol. 31, no. 5, hlm. 581-588, 2009.

Z. Lutfiyani, Biomodeling Denyut Jantung dengan Metoda Pendekatan Perubahan Tekanan untuk Simulator CABbaGe, Thesis Magister, STEI, Institut Teknologi Bandung, 2010.

E. Masita Dewi, S. Hadiyoso, T. Mengko, H. Zakaria, dan K. Astami, “Cardiovascular system modeling using Windkessel segmentation model based on photoplethysmography measurements of fingers and toes,” J Med Signals Sens, vol. 12, no. 3, hlm. 192-201, 2022.

H. Talbot, N. Haouchine, I. Peterlik, J. Dequidt, dan E. A. Christian Duriez, “Surgery training, planning and guidance using the SOFA framework,” dalam European Association for Computer Graphics, Zurich, 2015.

C. Fiarni, E. Sipayung, dan Y. Martiana, “Perancangan aplikasi pembuatan berkas perkara pidana dan pengelolaan berkas pada sistem informasi Direktorat Reserse Kriminal Umum,” dalam Seminar Nasional Sistem Informasi Indonesia, 2015.

J. T. Ottesen, M. S. Olufsen, dan J. K. Larsen, Applied Mathematical Models in Human Physiology, Philadelphia: Society for Industrial and Applied Mathematics, 2004.

J. Allard, S. Cotin, F. Faure, P. Bensoussan, F. Poyer, C. Duriez, H. Delingette, dan L. Grisoni, “SOFA - an open source framework for medical simulation,” Stud Health Technol Inform., vol. 125, hlm. 8-13, 2007.

Published

2025-05-05