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Abdul Halim SF, Zakaria Z, Pusppanathan J, Mohd Noor A, Norali AN, Fazalul Rahiman MH, Mohd Muji SZ, Abdul Rahim R, Engku-Husna EI, Ali Hassan MK, Aziz Safar MJ, Salleh AF, Mat Som MH. A Review on Magnetic Induction Spectroscopy Potential for Fetal Acidosis Examination. SENSORS 2022; 22:s22041334. [PMID: 35214235 PMCID: PMC8963069 DOI: 10.3390/s22041334] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 12/24/2021] [Accepted: 01/07/2022] [Indexed: 02/06/2023]
Abstract
Fetal acidosis is one of the main concerns during labor. Currently, fetal blood sampling (FBS) has become the most accurate measurement of acidosis detection. However, it is invasive and does not provide a real time measurement due to laboratory procedures. Delays in diagnosis of acidosis have caused serious injury to the fetus, especially for the brain and the heart. This paper reviews the new technique in diagnosis of acidosis non-invasively. Magnetic Induction Spectroscopy (MIS) has been proposed to be a new device for acidosis detection in recent years. This paper explains the basic principle of MIS and outlines the design specifications and design considerations for a MIS pH probe. It is expected that readers will gain a basic understanding of the development of a MIS pH probe from this review.
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Affiliation(s)
- Siti Fatimah Abdul Halim
- Biomedical Electronic Engineering, Faculty of Electronic Engineering Technology, Universiti Malaysia Perlis, Arau 02600, Perlis, Malaysia; (S.F.A.H.); (A.M.N.); (A.N.N.); (A.F.S.); (M.H.M.S.)
| | - Zulkarnay Zakaria
- Biomedical Electronic Engineering, Faculty of Electronic Engineering Technology, Universiti Malaysia Perlis, Arau 02600, Perlis, Malaysia; (S.F.A.H.); (A.M.N.); (A.N.N.); (A.F.S.); (M.H.M.S.)
- Medical Device & Life Sciences Cluster, Sports Engineering Research Centre (SERC), Universiti Malaysia Perlis, Arau 02600, Perlis, Malaysia; (M.K.A.H.); (M.J.A.S.)
- Correspondence:
| | - Jaysuman Pusppanathan
- Sport Innovation & Technology Centre (SiTC), Institute of Human Centered Engineering (iHumen), Universiti Teknologi Malaysia, Skudai 81310, Johor, Malaysia;
| | - Anas Mohd Noor
- Biomedical Electronic Engineering, Faculty of Electronic Engineering Technology, Universiti Malaysia Perlis, Arau 02600, Perlis, Malaysia; (S.F.A.H.); (A.M.N.); (A.N.N.); (A.F.S.); (M.H.M.S.)
- Medical Device & Life Sciences Cluster, Sports Engineering Research Centre (SERC), Universiti Malaysia Perlis, Arau 02600, Perlis, Malaysia; (M.K.A.H.); (M.J.A.S.)
| | - Ahmad Nasrul Norali
- Biomedical Electronic Engineering, Faculty of Electronic Engineering Technology, Universiti Malaysia Perlis, Arau 02600, Perlis, Malaysia; (S.F.A.H.); (A.M.N.); (A.N.N.); (A.F.S.); (M.H.M.S.)
- Medical Device & Life Sciences Cluster, Sports Engineering Research Centre (SERC), Universiti Malaysia Perlis, Arau 02600, Perlis, Malaysia; (M.K.A.H.); (M.J.A.S.)
| | | | - Siti Zarina Mohd Muji
- Department of Electronic Engineering, Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Parit Raja, Batu Pahat 86400, Johor, Malaysia;
| | - Ruzairi Abdul Rahim
- School of Electrical Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Skudai 81310, Johor, Malaysia;
| | - Engku Ismail Engku-Husna
- Department of Obstetrics and Gynaecology, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia;
| | - Muhamad Khairul Ali Hassan
- Medical Device & Life Sciences Cluster, Sports Engineering Research Centre (SERC), Universiti Malaysia Perlis, Arau 02600, Perlis, Malaysia; (M.K.A.H.); (M.J.A.S.)
- Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, Arau 02600, Perlis, Malaysia;
| | - Muhammad Juhairi Aziz Safar
- Medical Device & Life Sciences Cluster, Sports Engineering Research Centre (SERC), Universiti Malaysia Perlis, Arau 02600, Perlis, Malaysia; (M.K.A.H.); (M.J.A.S.)
- Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, Arau 02600, Perlis, Malaysia;
| | - Ahmad Faizal Salleh
- Biomedical Electronic Engineering, Faculty of Electronic Engineering Technology, Universiti Malaysia Perlis, Arau 02600, Perlis, Malaysia; (S.F.A.H.); (A.M.N.); (A.N.N.); (A.F.S.); (M.H.M.S.)
- Medical Device & Life Sciences Cluster, Sports Engineering Research Centre (SERC), Universiti Malaysia Perlis, Arau 02600, Perlis, Malaysia; (M.K.A.H.); (M.J.A.S.)
| | - Mohd Hanafi Mat Som
- Biomedical Electronic Engineering, Faculty of Electronic Engineering Technology, Universiti Malaysia Perlis, Arau 02600, Perlis, Malaysia; (S.F.A.H.); (A.M.N.); (A.N.N.); (A.F.S.); (M.H.M.S.)
- Medical Device & Life Sciences Cluster, Sports Engineering Research Centre (SERC), Universiti Malaysia Perlis, Arau 02600, Perlis, Malaysia; (M.K.A.H.); (M.J.A.S.)
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Inverse Transformation in Eddy Current Tomography with Continuous Optimization of Reference Defect Parameters. MATERIALS 2021; 14:ma14174778. [PMID: 34500867 PMCID: PMC8432539 DOI: 10.3390/ma14174778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 08/16/2021] [Accepted: 08/19/2021] [Indexed: 11/16/2022]
Abstract
This paper presents a methodology of inverse tomography transformation in eddy current tomography with the use of continuous optimization of reference defect parameters. Ferromagnetic steel samples with rectangular air inclusion defects of known dimensions were prepared and measured using an eddy current tomography setup. FEM-based (Finite Element Method based) forward tomography transformation was developed and utilized in inverse tomography transformation. The presented method of inverse tomography transformation is based on the continuous optimization of parameters that can describe the sample, such as the diameter and dimensions of the reference defect. The obtained results of inverse tomography transformation were in high accordance with the real parameters of the samples. Additionally, the presented method had acceptable repeatability. The obtained values of the sample parameters fit within the range of expanded uncertainty when compared to the real parameters of the sample.
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Dingley G, Soleimani M. Multi-Frequency Magnetic Induction Tomography System and Algorithm for Imaging Metallic Objects. SENSORS 2021; 21:s21113671. [PMID: 34070503 PMCID: PMC8199193 DOI: 10.3390/s21113671] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 04/19/2021] [Accepted: 05/18/2021] [Indexed: 11/16/2022]
Abstract
Magnetic induction tomography (MIT) is largely focused on applications in biomedical and industrial process engineering. MIT has a great potential for imaging metallic samples; however, there are fewer developments directed toward the testing and monitoring of metal components. Eddy-current non-destructive testing is well established, showing that corrosion, fatigue and mechanical loading are detectable in metals. Applying the same principles to MIT would provide a useful imaging tool for determining the condition of metal components. A compact MIT instrument is described, including the design aspects and system performance characterisation, assessing dynamic range and signal quality. The image rendering ability is assessed using both external and internal object inclusions. A multi-frequency MIT system has similar capabilities as transient based pulsed eddy current instruments. The forward model for frequency swap multi-frequency is solved, using a computationally efficient numerical modelling with the edge-based finite elements method. The image reconstruction for spectral imaging is done by adaptation of a spectrally correlative base algorithm, providing whole spectrum data for the conductivity or permeability.
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