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pH estimation of fetal scalp blood using magnetic induction spectroscopy technique

Master of Science in Biomedical Electronic Engineering

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Bibliographic Details
Main Author: Shazwani, Sarkawi
Other Authors: Zulkarnay, Zakaria, Dr.
Format: Thesis
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2017
Subjects:
Magnetic induction
Hydrogen-ion concentration
Magnetic induction spectroscopy
pH measurement
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/78741
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spelling my.unimap-787412023-05-12T13:53:12Z pH estimation of fetal scalp blood using magnetic induction spectroscopy technique Shazwani, Sarkawi Zulkarnay, Zakaria, Dr. Magnetic induction Hydrogen-ion concentration Magnetic induction spectroscopy pH measurement Master of Science in Biomedical Electronic Engineering This thesis describes the development of fetal scalp pH estimation utilizing magnetic induction spectroscopy technique. Magnetic induction spectroscopy is a non-invasive approach that applies a magnetic field to determine the passive electrical properties. The relationship of the induced signal at the receiver and fetal scalp pH value was investigated. COMSOL Multiphysics® software was used to simulated sensor probe design. The simulation was done with several parameters such as frequency range, sensor geometry, number of turns and distance between transmitter and receiver coil to determine the suitable single channel magnetic induction spectroscopy technique for fetal scalp pH measurement design. The best result from parameters simulation was combined and finalized to be final sensor design. Then, the hardware was develop according to the simulation result. Mathematical equation was derived to show the relationship between voltage and pH. The result shows that the magnetic induction spectroscopy was capable to detect pH changes in the fetal scalp blood mimic model. The frequency range must be in the range of MegaHertz to increase the production of induced field. Circular coil was choose as the most suitable sensor geometry due to its sensitivity to detect smallest hydrogen conductivity changes in fetal scalp blood mimic model. The distance between the sensing coils of 0.08 mm was better than 0.1 mm because the strength of the field decreases with increasing distance from the wire. The error percentage acquired from prediction mathematical equation was less than 1% and the correlation obtained between the induced signal and pH was greater than 0.9190. 2017 2023-05-12T13:53:12Z 2023-05-12T13:53:12Z Thesis http://dspace.unimap.edu.my:80/xmlui/handle/123456789/78741 en Universiti Malaysia Perlis (UniMAP) Universiti Malaysia Perlis (UniMAP) School of Mechatronic Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Magnetic induction
Hydrogen-ion concentration
Magnetic induction spectroscopy
pH measurement
spellingShingle Magnetic induction
Hydrogen-ion concentration
Magnetic induction spectroscopy
pH measurement
Shazwani, Sarkawi
pH estimation of fetal scalp blood using magnetic induction spectroscopy technique
description Master of Science in Biomedical Electronic Engineering
author2 Zulkarnay, Zakaria, Dr.
author_facet Zulkarnay, Zakaria, Dr.
Shazwani, Sarkawi
format Thesis
author Shazwani, Sarkawi
author_sort Shazwani, Sarkawi
title pH estimation of fetal scalp blood using magnetic induction spectroscopy technique
title_short pH estimation of fetal scalp blood using magnetic induction spectroscopy technique
title_full pH estimation of fetal scalp blood using magnetic induction spectroscopy technique
title_fullStr pH estimation of fetal scalp blood using magnetic induction spectroscopy technique
title_full_unstemmed pH estimation of fetal scalp blood using magnetic induction spectroscopy technique
title_sort ph estimation of fetal scalp blood using magnetic induction spectroscopy technique
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2017
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/78741
_version_ 1772813206226468864
score 13.214268

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