Modeling of cardiovascular system for evaluation of vascular reactivity estimation techniques based on reactive hyperemia.

Authors

  • Diana Carolina Arboleda-Gómez Grupo de Investigación en Bioinstrumentación e Ingeniería Clínica - GIBIC, Programa de Bioingeniería, Universidad de Antioquia. Medellín, Colombia. http://orcid.org/0000-0003-4829-3861
  • Jenny Kateryne Aristizábal-Nieto Grupo de Investigación en Bioinstrumentación e Ingeniería Clínica - GIBIC, Programa de Bioingeniería, Universidad de Antioquia. Medellín, Colombia. http://orcid.org/0000-0003-2640-1489
  • Alher Mauricio Hernández-Valdivieso Grupo de Investigación en Bioinstrumentación e Ingeniería Clínica - GIBIC, Programa de Bioingeniería, Universidad de Antioquia. Medellín, Colombia. http://orcid.org/0000-0003-1132-5794

DOI:

https://doi.org/10.22267/rus.182002.118

Keywords:

Cardiovascular diseases, Hyperemia, Biological models, Computer simulation

Abstract

Introduction: The Evaluation of Vascular reactivity (VR) is done by the hyperemic response after ischemia produced by arterial occlusion. There are VR measurement techniques that allow the evaluation of vascular function at lower cost and without dependence on the operator, but they are in development and require validation and clinical acceptance. Objective: To model vascular mechanics computationally in order to evaluate the performance of a VR technique. Materials and methods: The electrical model of the vasculature of the arm was modified, obtaining the peripheral volume with and without brachial artery occlusion. A computational identification, which relates the peripheral volume to the results of a VR evaluation technique and presents color changes in the occluded hand during reactive hyperemia, was performed. The software used was Matlab ®. Results: The modified model allowed to obtain the peripheral volume with and without occlusion, representing the perfusion in the microvasculature. The Hammerstein-Weiner non-linear model was the best descriptor of color changes depending on the dynamics of the vascular system and it presented an average adjustment percentage of 95.69%. Conclusions: It is possible to model computationally the technique of evaluation of vascular function using nonlinear identification.

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Author Biographies

Diana Carolina Arboleda-Gómez, Grupo de Investigación en Bioinstrumentación e Ingeniería Clínica - GIBIC, Programa de Bioingeniería, Universidad de Antioquia. Medellín, Colombia.

Estudiante de Maestría en Ingeniería. Grupo de Investigación en Bioinstrumentación e Ingeniería Clínica - GIBIC, Programa de Bioingeniería, Universidad de Antioquia UdeA; Calle 70 No. 52-21, Medellín, Colombia, email: diana.arboledag@udea.edu.co

Jenny Kateryne Aristizábal-Nieto, Grupo de Investigación en Bioinstrumentación e Ingeniería Clínica - GIBIC, Programa de Bioingeniería, Universidad de Antioquia. Medellín, Colombia.

MsC Ingeniería Biomédica, Profesor ocasional, Grupo GIBIC, Programa de Bioingeniería, Facultad de Ingeniería, Universidad de Antioquia UdeA; Calle 70 No. 52-21, Medellín, Colombia. Email: jenny.aristizabal@udea.edu.co

Alher Mauricio Hernández-Valdivieso, Grupo de Investigación en Bioinstrumentación e Ingeniería Clínica - GIBIC, Programa de Bioingeniería, Universidad de Antioquia. Medellín, Colombia.

PhD Ingeniería Biomédica, Profesor titular, Grupo GIBIC, Programa de Bioingeniería, Facultad de Ingeniería, Universidad de Antioquia UdeA; Calle 70 No. 52-21, Medellín, Colombia. Email: alher.hernandez@udea.edu.co

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Published

2018-05-01

How to Cite

1.
Arboleda-Gómez DC, Aristizábal-Nieto JK, Hernández-Valdivieso AM. Modeling of cardiovascular system for evaluation of vascular reactivity estimation techniques based on reactive hyperemia. Univ. Salud [Internet]. 2018May1 [cited 2024Dec.20];20(2):139-48. Available from: https://revistas.udenar.edu.co/index.php/usalud/article/view/3188

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Section

Scientific and technological research article