Sensor based electromagnetic waves for unblocks clogged arteries

Issue title: Electromagnetic Fields in Mechatronics, Computer Sciences, Electrical and Electronic Engineering

Guest editors: Sławomir Wiak, Paolo Di Barba and Evelina Mognaschi

Article type: Research Article

Authors: Bouchareb, Ilhem^a;

Affiliations: [a] Department of Electrical Engineering, EEA Engineering Laboratory (LGEPC), National Polytechnical University of Constantine (ENPC), Constantine, Algeria E-mail: [email protected]

Correspondence: [*] E-mail: [email protected]

Abstract: A significant advance has been made in medical diagnosis through introduction of mathematical theories and artificial intelligence (AI). The main theme of this research work is to presents a novel arteries unblocks sensor model based on the principle of the propagation electromagnetic waves. Sensor model based on an electromagnetic waves transmit shock waves through guide wires to specifically cross calcified and fibrotic tissues in the arterial vascular system while leaving intact the elastic wall of healthy vessels. This sensor model has been implemented in a designed system model in an electric circuit inside stockings. The observed results are presented to illustrate the performances of his ability to move strange objects which represents the suspended cholesterol. The results expressed by the distance traveled by the stone under the influence of electromagnetic waves transmitted in water showed that the application of this principle for a period of time allows the opening of blockage of the arteries which demonstrates the performance of the proposed sensor model and the entire system. For health state monitoring: severity and localization coordinates of the arteries unblocks by incorporating artificial intelligence tools are studied in detail in second part for better obstruction treatment.

Keywords: Atherosclerosis, arteries, electromagnetic waves, sensor, unblocks

DOI: 10.3233/JAE-210196

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 69, no. 2, pp. 245-261, 2022