Literature Database Entry

tartie2022modelling

Matis Tartié, "Modelling the Human Circulatory System with Electric Circuits," Bachelor Thesis, School of Electrical Engineering and Computer Science (EECS), TU Berlin (TUB), March 2022. (Advisor: Jorge Torres Gómez; Referees: Falko Dressler and Thomas Sikora)

Abstract

Recent advances in Nano Technology has brought us closer than ever to using nano-robotics within the human body. This can have a variety of medical uses like transporting and releasing drugs in certain regions of the body. One way to do this, is distributing nano-bots in the blood circulatory system. It is therefore necessary to have accurate models to be able to simulate and test these possibilities. There are many ways to create simulations and models of the real world. One possibility is creating a model using electric circuits. In this thesis, that possibility, creating a model of the human circulatory system with electric circuits is explored. We can consider the circulatory system to be a complex system of tubes with bifurcations and intersections with fluid flowing through. Based on previous research in fluid dynamics, it is possible to model these specifications with electric components. Current available models often only simulate arteries and not the veins and capillaries. On top of that, many models group blood vessels together instead of representing the individual blood vessels. In this project an electric model of the human circulatory system was designed for the main blood vessels of the legs. Starting from current available models the goal was to improve the current research by adding in more blood vessels. Ultimately, the updated model showed an improvement for the circuit of the legs.

Quick access

BibTeX BibTeX

Contact

Matis Tartié

BibTeX reference

@phdthesis{tartie2022modelling,
    author = {Tarti{\'{e}}, Matis},
    title = {{Modelling the Human Circulatory System with Electric Circuits}},
    advisor = {Torres G{\'{o}}mez, Jorge},
    institution = {School of Electrical Engineering and Computer Science (EECS)},
    location = {Berlin, Germany},
    month = {3},
    referee = {Dressler, Falko and Sikora, Thomas},
    school = {TU Berlin (TUB)},
    type = {Bachelor Thesis},
    year = {2022},
   }
   
   

Copyright notice

Links to final or draft versions of papers are presented here to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or distributed for commercial purposes without the explicit permission of the copyright holder.

The following applies to all papers listed above that have IEEE copyrights: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

The following applies to all papers listed above that are in submission to IEEE conference/workshop proceedings or journals: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.

The following applies to all papers listed above that have ACM copyrights: ACM COPYRIGHT NOTICE. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org.

The following applies to all SpringerLink papers listed above that have Springer Science+Business Media copyrights: The original publication is available at www.springerlink.com.

This page was automatically generated using BibDB and bib2web.

Last modified: 2024-04-24