Simulation of RF patch antenna sensor for biological applications

Diabetes affects hundreds of millions of people globally, and is a leading cause of death and disability worldwide. Patients must regularly monitor their blood glucose concentration to manage the disease. A non-invasive way of glucose monitoring using biosensor has emerged as an alternative tec...

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Main Authors: Yunos, Muhammad Farhan Affendi, Nordin, Anis Nurashikin, Khan, Sheroz
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2018
Subjects:
Online Access:http://irep.iium.edu.my/70636/
http://irep.iium.edu.my/70636/
http://irep.iium.edu.my/70636/
http://irep.iium.edu.my/70636/9/70636_Simulation%20of%20RF%20patch%20antenna%20sensor.pdf
http://irep.iium.edu.my/70636/2/70636_Simulation%20of%20RF%20patch%20antenna_SCOPUS.pdf
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recordtype eprints
spelling iium-706362019-02-28T07:27:12Z http://irep.iium.edu.my/70636/ Simulation of RF patch antenna sensor for biological applications Yunos, Muhammad Farhan Affendi Nordin, Anis Nurashikin Khan, Sheroz TK Electrical engineering. Electronics Nuclear engineering TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Diabetes affects hundreds of millions of people globally, and is a leading cause of death and disability worldwide. Patients must regularly monitor their blood glucose concentration to manage the disease. A non-invasive way of glucose monitoring using biosensor has emerged as an alternative technique. This work describes a contemporary approach of using patch antenna sensor in estimating the glucose level in blood. Focus of this work is to perform the simulation of sensor design using finite element analysis software, CST Microwave Studio. The geometry of sensors have been simulated where the results show the optimal design of feedline length was 11.25 mm at 1.98 GHz. The optimal design was then simulated in COMSOL Multiphysics for evaluating frequency shift in different medium permittivity of air, water and blood. The increase of permittivity will result in decrease of resonance frequency. Institute of Electrical and Electronics Engineers Inc. 2018 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/70636/9/70636_Simulation%20of%20RF%20patch%20antenna%20sensor.pdf application/pdf en http://irep.iium.edu.my/70636/2/70636_Simulation%20of%20RF%20patch%20antenna_SCOPUS.pdf Yunos, Muhammad Farhan Affendi and Nordin, Anis Nurashikin and Khan, Sheroz (2018) Simulation of RF patch antenna sensor for biological applications. In: 7th International Conference on Computer and Communication Engineering, ICCCE 2018, 19th-20th September 2018, Kuala Lumpur. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8539320 10.1109/ICCCE.2018.8539320
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
topic TK Electrical engineering. Electronics Nuclear engineering
TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Yunos, Muhammad Farhan Affendi
Nordin, Anis Nurashikin
Khan, Sheroz
Simulation of RF patch antenna sensor for biological applications
description Diabetes affects hundreds of millions of people globally, and is a leading cause of death and disability worldwide. Patients must regularly monitor their blood glucose concentration to manage the disease. A non-invasive way of glucose monitoring using biosensor has emerged as an alternative technique. This work describes a contemporary approach of using patch antenna sensor in estimating the glucose level in blood. Focus of this work is to perform the simulation of sensor design using finite element analysis software, CST Microwave Studio. The geometry of sensors have been simulated where the results show the optimal design of feedline length was 11.25 mm at 1.98 GHz. The optimal design was then simulated in COMSOL Multiphysics for evaluating frequency shift in different medium permittivity of air, water and blood. The increase of permittivity will result in decrease of resonance frequency.
format Conference or Workshop Item
author Yunos, Muhammad Farhan Affendi
Nordin, Anis Nurashikin
Khan, Sheroz
author_facet Yunos, Muhammad Farhan Affendi
Nordin, Anis Nurashikin
Khan, Sheroz
author_sort Yunos, Muhammad Farhan Affendi
title Simulation of RF patch antenna sensor for biological applications
title_short Simulation of RF patch antenna sensor for biological applications
title_full Simulation of RF patch antenna sensor for biological applications
title_fullStr Simulation of RF patch antenna sensor for biological applications
title_full_unstemmed Simulation of RF patch antenna sensor for biological applications
title_sort simulation of rf patch antenna sensor for biological applications
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2018
url http://irep.iium.edu.my/70636/
http://irep.iium.edu.my/70636/
http://irep.iium.edu.my/70636/
http://irep.iium.edu.my/70636/9/70636_Simulation%20of%20RF%20patch%20antenna%20sensor.pdf
http://irep.iium.edu.my/70636/2/70636_Simulation%20of%20RF%20patch%20antenna_SCOPUS.pdf
first_indexed 2023-09-18T21:40:16Z
last_indexed 2023-09-18T21:40:16Z
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