A non-invasive ultra-wide band based system using artificial intelligence to determine blood glucose level

Diabetes is a serious health concern and declared as global epidemic by WHO due to its rapidly increasing incidence. It is a major cause of mortality worldwide. For a diabetic patient maintenance of blood glucose level within the physiological range is essential to lead a healthy life. The frequent...

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Format:	Thesis
Language:	English
Subjects:	Blood sugar Diabetes Blood glucose Diabetic patient Ultra-wideband devices
Online Access:	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77983/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77983/2/Full%20text.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77983/4/Md%20Shawkat.pdf
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spelling	my-unimap-779832023-03-06T02:27:38Z A non-invasive ultra-wide band based system using artificial intelligence to determine blood glucose level Sabira, Khatun, Prof. Dr. Diabetes is a serious health concern and declared as global epidemic by WHO due to its rapidly increasing incidence. It is a major cause of mortality worldwide. For a diabetic patient maintenance of blood glucose level within the physiological range is essential to lead a healthy life. The frequent monitoring of blood glucose is an important part of diabetic management specially for type-1 diabetes. A laboratory test or self-test with a small device uses a blood sample collected from a body part with a needle. In extreme cases a diabetic patient needs to undergo this painful process several times a day. To reduce this suffering, a non-invasive (without any blood sample) and patient friendly way of measurement is crucial. Unique advantageous features of UWB technology has demonstrated the widely use of biomedical applications, specially for early breast cancer detection. In the field of exploring potential non-invasive solutions to diabetes detection one promising alternative can be UWB based system using artificial intelligence technique. This relies on variation of dielectric properties (permittivity and conductivity) of target tissues or cells in a given frequency. Initially the experimental setup was prepared with different types of homemade antennas to select the appropriate antenna type, perfect measurable body place, and to confirm the proof of concept. In integrated system a rectangular patch antenna was fixed with a transceiver to generate 4.3 GHz frequency and pass through the earlobe. Received discriminated scattered signal was processed and discrete values were reduced to use as input of artificial neural network (ANN). Number of experiment was conducted to construct an optimal ANN module where actual blood glucose was used as target. The final network output was used to obtain the blood glucose reading from a given scattered signal value. Universiti Malaysia Perlis (UniMAP) Thesis en http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77983 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77983/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77983/1/Page%201-24.pdf 53d79c098585a2015208ab6554f07b36 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77983/2/Full%20text.pdf f8870bca51c4f520430c545ee1fc1b76 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77983/4/Md%20Shawkat.pdf 6fcc328c85cafb000801b1c516664746 Universiti Malaysia Perlis (UniMAP) Blood sugar Diabetes Blood glucose Diabetic patient Ultra-wideband devices School of Computer and Communication Engineering
institution	Universiti Malaysia Perlis
collection	UniMAP Institutional Repository
language	English
advisor	Sabira, Khatun, Prof. Dr.
topic	Blood sugar Diabetes Blood glucose Diabetic patient Ultra-wideband devices
spellingShingle	Blood sugar Diabetes Blood glucose Diabetic patient Ultra-wideband devices A non-invasive ultra-wide band based system using artificial intelligence to determine blood glucose level
description	Diabetes is a serious health concern and declared as global epidemic by WHO due to its rapidly increasing incidence. It is a major cause of mortality worldwide. For a diabetic patient maintenance of blood glucose level within the physiological range is essential to lead a healthy life. The frequent monitoring of blood glucose is an important part of diabetic management specially for type-1 diabetes. A laboratory test or self-test with a small device uses a blood sample collected from a body part with a needle. In extreme cases a diabetic patient needs to undergo this painful process several times a day. To reduce this suffering, a non-invasive (without any blood sample) and patient friendly way of measurement is crucial. Unique advantageous features of UWB technology has demonstrated the widely use of biomedical applications, specially for early breast cancer detection. In the field of exploring potential non-invasive solutions to diabetes detection one promising alternative can be UWB based system using artificial intelligence technique. This relies on variation of dielectric properties (permittivity and conductivity) of target tissues or cells in a given frequency. Initially the experimental setup was prepared with different types of homemade antennas to select the appropriate antenna type, perfect measurable body place, and to confirm the proof of concept. In integrated system a rectangular patch antenna was fixed with a transceiver to generate 4.3 GHz frequency and pass through the earlobe. Received discriminated scattered signal was processed and discrete values were reduced to use as input of artificial neural network (ANN). Number of experiment was conducted to construct an optimal ANN module where actual blood glucose was used as target. The final network output was used to obtain the blood glucose reading from a given scattered signal value.
format	Thesis
title	A non-invasive ultra-wide band based system using artificial intelligence to determine blood glucose level
title_short	A non-invasive ultra-wide band based system using artificial intelligence to determine blood glucose level
title_full	A non-invasive ultra-wide band based system using artificial intelligence to determine blood glucose level
title_fullStr	A non-invasive ultra-wide band based system using artificial intelligence to determine blood glucose level
title_full_unstemmed	A non-invasive ultra-wide band based system using artificial intelligence to determine blood glucose level
title_sort	non-invasive ultra-wide band based system using artificial intelligence to determine blood glucose level
granting_institution	Universiti Malaysia Perlis (UniMAP)
granting_department	School of Computer and Communication Engineering
url	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77983/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77983/2/Full%20text.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77983/4/Md%20Shawkat.pdf
_version_	1776104239738650624

A non-invasive ultra-wide band based system using artificial intelligence to determine blood glucose level

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