Melola Discovery

← Melola Discovery

Jurnal

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.

Kata kunci

Jaringan kolaborasi para penulis

40 penulis · 100 tautan kepenulisan bersama · 14 lintas organisasi · menampilkan 40 yang paling banyak terhubung

Arahkan kursor atau ketuk sebuah nama untuk menyorot rekan penulisnya. Klik dua kali untuk membuka halaman penulis.

  • Universitas Halu Oleo
  • Universitas Ahmad Dahlan
  • Institut Seni Budaya Indonesia Aceh
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
sulha sulhaAfiliasi tidak diketahui4
Handrawan HandrawanUniversitas Halu Oleo3
Umran SaritaAfiliasi tidak diketahui3
Rahman HasimaUniversitas Halu Oleo3
Nasrul NasrulAfiliasi tidak diketahui2
Safril Sofwan SanibUniversitas Halu Oleo2
Baso MursidiAfiliasi tidak diketahui2
Moh. FadhilAfiliasi tidak diketahui2
Jamaluddin IdrisAfiliasi tidak diketahui2
Ahmad SarbiniAfiliasi tidak diketahui2
Tri Stiyo FamujiUniversitas Ahmad Dahlan1
Sunardi SunardiUniversitas Ahmad Dahlan1
Muhammad Kunta BiddinikaUniversitas Ahmad Dahlan1
Aldibangun Pidekso PutroAfiliasi tidak diketahui1
Mustafa MustafaInstitut Seni Budaya Indonesia Aceh1
Oheo K. HarisAfiliasi tidak diketahui1
Vivi Fatmawati A.Afiliasi tidak diketahui1
Ahmad AhmadAfiliasi tidak diketahui1
Makkulau MakkulauUniversitas Halu Oleo1
Fahinu FahinuAfiliasi tidak diketahui1
Muhammad Handy Dwi AdityawanAfiliasi tidak diketahui1
Siti Nurjanah AhmadUniversitas Halu Oleo1
Masdiana MasdianaUniversitas Halu Oleo1
Muhammad TaufikUniversitas Halu Oleo1
H S GusnawatyUniversitas Halu Oleo1
Deity YuningsihUniversitas Halu Oleo1
St. Muslimah SuciatiUniversitas Halu Oleo1
Haris YusufUniversitas Halu Oleo1
La Ode M. SulihinAfiliasi tidak diketahui1
Heryanti HeryantiAfiliasi tidak diketahui1
La SensuUniversitas Halu Oleo1
Sitti Aisah AbdullahAfiliasi tidak diketahui1
Fitriah FaisalUniversitas Halu Oleo1
Isnayanti IsnayantiUniversitas Halu Oleo1
Faculty of science, Sumatera Institute of Technology, 35365, Indonesia Department of PhysicsAfiliasi tidak diketahui1
Faculty of science, Sumatera Institute of Technology, 35365, Indonesia Department of Master PhysicsAfiliasi tidak diketahui1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/sji/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 6 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<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>