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Human Digital Twin Modeling for Cardiovascular System

Scientific Journal of Informatics · Vol. 12 No. 1 (2025) · hlm. 11–20

DOI
10.15294/sji.v11i4.16012
ISSN
2407-7658, 2460-0040
Terbit
2025-04-08
Penerbit
Universitas Negeri Semarang
Bahasa
eng

Abstrak

Purpose: The cardiovascular system is a vital system responsible for the distribution of oxygen and nutrients throughout the body. The complexity of interactions between the heart and blood vessels often presents challenges in monitoring and analyzing health conditions. The research proposes the development of a Human Digital Twin (HDT) for the cardiovascular system through application of two different modelling approaches geometric modeling and physic-based modeling. Through this model physical conditions can be represented and real time data integrated to offer insights into the dynamics of the cardiovascular system. Methods: This model development is based on two major components: a geometric modeling and a physic-based modeling. The geometric model is done in 3D to show the structure of the heart in detail, while the physical-based model is tabulated with different measurable physical parameters in the cardiovascular system, such as blood pressure and flow rate. This information is integrated into the Five Dimension Digital Twin model, including physical, virtual, data, connection, and service dimensions for the accurate simulation of cardiovascular conditions. Result: Results confirm that the Five-Dimensional Digital Twin (DT) could give further development to how the dynamics of the cardiovascular system behave, possibly in real-time updates on conditions and a supply of data that is far more detailed in view of analyzing risk and further representation of specific cardiovascular disorders while providing personalized medical support. Novelty: The Five-Dimensional Human Digital Twin Model (HDTM) developed in this research introduces novel innovations in the monitoring and simulation of the cardiovascular system through the application of geometric and physic-based modeling techniques. This approach offers a higher level of detail, compared to previous models, and added value for the advancement of health technology by integrating real time data into the simulations. This model serves not only as an advanced analytical tool but also as a reference for further research on DT technology in the medical field.

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  • Universitas Halu Oleo
  • Universitas Ahmad Dahlan
  • Universitas Noor Huda Mustofa
  • Universitas Islam Negeri Ar-Raniry
  • Universitas Muhammadiyah Magelang
  • Poltekkes Kemenkes Surabaya
  • Muhammadiyah University of Makassar
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Rekan penulisOrganisasiArtikel bersama
Abdul FadlilUniversitas Ahmad Dahlan2
Herman YuliansyahUniversitas Ahmad Dahlan2
M. HasinuddinUniversitas Noor Huda Mustofa2
Muhajir YunusUniversitas Ahmad Dahlan1
Maulana Muhammad Jogo SamodroUniversitas Ahmad Dahlan1
Bella Okta Sari MirandaUniversitas Ahmad Dahlan1
Dewi SoyusiawatyUniversitas Ahmad Dahlan1
Farhan Radhiansyah RazakUniversitas Ahmad Dahlan1
Aldibangun Pidekso PutroAfiliasi tidak diketahui1
HERMAN HERMANMuhammadiyah University of Makassar1
Saiful AkmalUniversitas Islam Negeri Ar-Raniry1
Haya ZafirahUniversitas Islam Negeri Ar-Raniry1
Masdiana MasdianaUniversitas Halu Oleo1
I Ketut Putra AdnyanaUniversitas Halu Oleo1
Nasrul NasrulUniversitas Halu Oleo1
Muh. Gammar Teja KusumaUniversitas Halu Oleo1
Mappa NashrunUniversitas Halu Oleo1
Adris Ade PutraUniversitas Halu Oleo1
Ahmad Syarif SukriUniversitas Halu Oleo1
Ridwan Syah NuhunUniversitas Halu Oleo1
Siti Nurjanah AhmadUniversitas Halu Oleo1
La WelendoUniversitas Halu Oleo1
Baso MursidiUniversitas Halu Oleo1
Maskur KimsanUniversitas Halu Oleo1
Nasrul NasrulUniversitas Halu Oleo1
Imam RiadiUniversitas Ahmad Dahlan1
Muhammad Fahmi Mubarok NahdliUniversitas Ahmad Dahlan1
Hayatul MunaUniversitas Islam Negeri Sultanah Nahrasiyah Lhokseumawe1
Ulva NovianaUniversitas Noor Huda Mustofa1
Muji SetiyoUniversitas Muhammadiyah Magelang1
Tuessi Ari PurnomoUniversitas Muhammadiyah Magelang1
Dori YuvendaUniversitas Negeri Padang1
Aditya KolakotiIndian Maritime University1
Nor Azwadi Che SidikUniversity of Technology Malaysia1
Olusegun David SamuelFederal University of Petroleum Resource Effurun1
Alper CalamGazi University1

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Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/sji/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">Human Digital Twin Modeling for Cardiovascular System</dc:title>
	<dc:creator xml:lang="en">Herman, Herman</dc:creator>
	<dc:creator xml:lang="en">Annafii, Moch. Nasheh</dc:creator>
	<dc:creator xml:lang="en">Kunta Biddinika, Muhammad</dc:creator>
	<dc:creator xml:lang="en">Fitriah, Fitriah</dc:creator>
	<dc:subject xml:lang="en">Digital Twin</dc:subject>
	<dc:subject xml:lang="en">Modeling</dc:subject>
	<dc:subject xml:lang="en">Geometric Modeling</dc:subject>
	<dc:subject xml:lang="en">Physical Based Model</dc:subject>
	<dc:subject xml:lang="en">Circulatory System</dc:subject>
	<dc:description xml:lang="en">Purpose: The cardiovascular system is a vital system responsible for the distribution of oxygen and nutrients throughout the body. The complexity of interactions between the heart and blood vessels often presents challenges in monitoring and analyzing health conditions. The research proposes the development of a Human Digital Twin (HDT) for the cardiovascular system through application of two different modelling approaches geometric modeling and physic-based modeling. Through this model physical conditions can be represented and real time data integrated to offer insights into the dynamics of the cardiovascular system.
Methods: This model development is based on two major components: a geometric modeling and a physic-based modeling. The geometric model is done in 3D to show the structure of the heart in detail, while the physical-based model is tabulated with different measurable physical parameters in the cardiovascular system, such as blood pressure and flow rate. This information is integrated into the Five Dimension Digital Twin model, including physical, virtual, data, connection, and service dimensions for the accurate simulation of cardiovascular conditions.
Result: Results confirm that the Five-Dimensional Digital Twin (DT) could give further development to how the dynamics of the cardiovascular system behave, possibly in real-time updates on conditions and a supply of data that is far more detailed in view of analyzing risk and further representation of specific cardiovascular disorders while providing personalized medical support.
Novelty: The Five-Dimensional Human Digital Twin Model (HDTM) developed in this research introduces novel innovations in the monitoring and simulation of the cardiovascular system through the application of geometric and physic-based modeling techniques. This approach offers a higher level of detail, compared to previous models, and added value for the advancement of health technology by integrating real time data into the simulations. This model serves not only as an advanced analytical tool but also as a reference for further research on DT technology in the medical field.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2025-04-08</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/sji/article/view/16012</dc:identifier>
	<dc:identifier>10.15294/sji.v11i4.16012</dc:identifier>
	<dc:source xml:lang="en">Scientific Journal of Informatics; Vol. 12 No. 1: Regular Issue; 11-20</dc:source>
	<dc:source>2407-7658</dc:source>
	<dc:source>2460-0040</dc:source>
	<dc:source>10.15294/sji.v12i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/sji/article/view/16012/3310</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2024 Scientific Journal of Informatics</dc:rights>
</oai_dc:dc>