Reference : Nanosensor Location in the Human Circulatory System Based on Electric Circuit Represe...

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	To cite this reference:	http://hdl.handle.net/10993/52343

Title :	Nanosensor Location in the Human Circulatory System Based on Electric Circuit Representation of Vessels
Language :	English
Author, co-author :	Gómez, Jorge Torres [TU Berlin, Germany]
	Gonzalez Rios, Jorge Luis [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom]
	Dressler, Falko [TU Berlin, Germany]
Publication date :	Oct-2022
Main document title :	Proceedings of the 9th ACM International Conference on Nanoscale Computing and Communication
Publisher :	Association for Computing Machinery
Collection and collection volume :	NANOCOM '22
Peer reviewed :	Yes
Audience :	International
ISBN :	9781450398671
City :	New York, NY, USA
Event name :	9th ACM International Conference on Nanoscale Computing and Communication
Event date :	October 5-7, 2022
Event organizer :	Association for Computing Machinery
Event place (city) :	Barcelona
Event country :	Spain
Keywords :	[en] blood pressure ; human circulatory system ; electric circuit simulator ; nanosensors ; nanosensor flow
Abstract :	[en] Nanotechnologies are advancing precision medicine applications, enhancing the detection and treatment of diseases. Traveling through the human vessels, nanosensors are envisioned to locally detect and actuate on targets very efficiently. In this area, modeling the behavior of traveling nanosensors in the human circulatory system helps developing new mechanisms for medical treatments. This paper explores the accurate modeling of the concentration level of the flowing nanosensors in vessels. We use a Markov chain formulation to predict the stationary distribution of them in the variety of vessel segments. To evaluate the transition probabilities of the Markov chain, we compute the blood flow based on the representation of vessels through electric circuit components. The resulting study reveals the dynamics of the movement of nanosensors in the blood flow yielding further details on their concentration level along vessels.
Permalink :	http://hdl.handle.net/10993/52343
DOI :	10.1145/3558583.3558818
Other URL :	https://doi.org/10.1145/3558583.3558818

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