Modeling and simulation of fiber Bragg Grating (FBG) as a strain sensor for in vivo body monitoring
Malaysia is a well-known country to have the best healthcare in the world. However, the number of deaths is increases annually due to heart disease. As a preventive measure against this disease, cost-effective technology must be introduced. The current project is concerned with the development of ca...
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my.utm.973612022-10-10T03:27:46Z http://eprints.utm.my/id/eprint/97361/ Modeling and simulation of fiber Bragg Grating (FBG) as a strain sensor for in vivo body monitoring Jalil, Muhammad Arif QC Physics Malaysia is a well-known country to have the best healthcare in the world. However, the number of deaths is increases annually due to heart disease. As a preventive measure against this disease, cost-effective technology must be introduced. The current project is concerned with the development of cardiovascular assessment sensor systems. The determination of aortic pressure in the carotid artery is by using fiber Bragg Grating (FBG) in in-vivo measurements. For this project, the strain response of the optical FBG sensor uses MATLAB R2133 software to simulate the reflected spectrum from the strain applied. By using the simulation, the characteristic of FBG can also be analyzed such as the spectral reflectivity and bandwidth. It were analyzed with grating length and refractive index change. Thus, simulation results demonstrated the strain, Bragg wavelength shift, spectral reflectivity and bandwidth as grating length and refractive index change is varies. It is affirmed that this model system can be used as a cardiovascular assessment device and the simulation result satisfy with the previous research. IJRASET 2021-04 Article PeerReviewed Jalil, Muhammad Arif (2021) Modeling and simulation of fiber Bragg Grating (FBG) as a strain sensor for in vivo body monitoring. International Journal of Applied Engineering Research - IJRASET, 9 (4). pp. 1727-1732. ISSN 2321-9653 http://dx.doi.org/10.22214/ijraset.2021.33582 DOI:10.22214/ijraset.2021.33582 |
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QC Physics Jalil, Muhammad Arif Modeling and simulation of fiber Bragg Grating (FBG) as a strain sensor for in vivo body monitoring |
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Malaysia is a well-known country to have the best healthcare in the world. However, the number of deaths is increases annually due to heart disease. As a preventive measure against this disease, cost-effective technology must be introduced. The current project is concerned with the development of cardiovascular assessment sensor systems. The determination of aortic pressure in the carotid artery is by using fiber Bragg Grating (FBG) in in-vivo measurements. For this project, the strain response of the optical FBG sensor uses MATLAB R2133 software to simulate the reflected spectrum from the strain applied. By using the simulation, the characteristic of FBG can also be analyzed such as the spectral reflectivity and bandwidth. It were analyzed with grating length and refractive index change. Thus, simulation results demonstrated the strain, Bragg wavelength shift, spectral reflectivity and bandwidth as grating length and refractive index change is varies. It is affirmed that this model system can be used as a cardiovascular assessment device and the simulation result satisfy with the previous research. |
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Jalil, Muhammad Arif |
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Jalil, Muhammad Arif |
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Jalil, Muhammad Arif |
title |
Modeling and simulation of fiber Bragg Grating (FBG) as a strain sensor for in vivo body monitoring |
title_short |
Modeling and simulation of fiber Bragg Grating (FBG) as a strain sensor for in vivo body monitoring |
title_full |
Modeling and simulation of fiber Bragg Grating (FBG) as a strain sensor for in vivo body monitoring |
title_fullStr |
Modeling and simulation of fiber Bragg Grating (FBG) as a strain sensor for in vivo body monitoring |
title_full_unstemmed |
Modeling and simulation of fiber Bragg Grating (FBG) as a strain sensor for in vivo body monitoring |
title_sort |
modeling and simulation of fiber bragg grating (fbg) as a strain sensor for in vivo body monitoring |
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IJRASET |
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2021 |
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http://eprints.utm.my/id/eprint/97361/ http://dx.doi.org/10.22214/ijraset.2021.33582 |
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1748180448622673920 |
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13.211869 |