A GUI-BASED DATA ACQUISITION SYSTEM FOR EIT USING TWO CURRENT INJECTION METHODS

Ahmad Zarkasi; Muhammad Fauzan  Hananda Putra; Adrianus Inu  Natalisanto; Kholis  Nurhanafi; Muhammad  Hidayatullah; Amirin  Kusmiran; Amalia C  Nuraidha

doi:10.29303/ipr.v7i3.356

A GUI-BASED DATA ACQUISITION SYSTEM FOR EIT USING TWO CURRENT INJECTION METHODS

Authors

Ahmad Zarkasi , Muhammad Fauzan Hananda Putra , Adrianus Inu Natalisanto , Kholis Nurhanafi , Muhammad Hidayatullah , Amirin Kusmiran , Amalia C Nuraidha

DOI:

10.29303/ipr.v7i3.356

Published:

2024-07-25

Issue:

Vol. 7 No. 3 (2024)

Keywords:

EIT, GUI, Boundary Potential, Current Injection, Current injection

Articles

Downloads

PDF

How to Cite

Zarkasi, A., Hananda Putra, M. F. ., Natalisanto, A. I. ., Nurhanafi, K. ., Hidayatullah, M. ., Kusmiran, A., & Nuraidha, A. C. . (2024). A GUI-BASED DATA ACQUISITION SYSTEM FOR EIT USING TWO CURRENT INJECTION METHODS. Indonesian Physical Review, 7(3), 379–397. https://doi.org/10.29303/ipr.v7i3.356

Download Citation

Abstract

The current injection method played an essential role in the data quality of impedance measurement using the electrical impedance tomography (EIT) technique. Previous studies have largely utilized only a single current injection method with limited interface access, which restricts the effectiveness of EIT systems. In this paper, a graphical user interface (GUI)-based data acquisition system was designed to improve user interaction and optimize the control system. The system was equipped with multiple current injection methods, allowing researchers to choose which method to use in the measurement process. The designed hardware comprises a V-to-I converter circuit, multiplexer, electrodes, peak detector, and filter circuit. Testing results indicate that the V to I converter circuit has an average peak difference between voltage and current of 4.86% and an average error of 0.69% in the peak detector circuit. The multiplexer circuit switches quickly and consistently, while the filter circuit remains stable at the 50 kHz frequency used in this study. These results demonstrate that the designed circuits perform adequately and effectively, ensuring reliable and accurate measurements. Additionally, the data acquisition software, presented as a GUI, effectively facilitates the selection of current injection methods and the display of boundary data simulation (BDS) on the object. This is demonstrated by the spatial inhomogeneity patterns visible through BDS in both the adjacent and opposite methods

References

P. Suetens, Fundamentals of Medical Imaging, 3rd ed. Belgium: Cambridge University Press, 2017.

A. Adler and D. S. Holder, Electrical Impedance Tomography: Methods, History and Applications, 2nd ed. Bristol: CRC Press, 2022.

S. Mansouri, Y. Alharbi, F. Haddad, S. Chabcoub, A. Alshrouf, and A. A. Abd-Elghany, ‘Electrical Impedance tomography – Recent applications and developments’, J Electr Bioimpedance, vol. 12, no. 1, pp. 50–62, 2021, doi: 10.2478/joeb-2021-0007.

M. Wang, Industrial Tomography: Systems and Applications, 2nd ed. Cambridge: Elsevier Science, 2022.

B. Pitaloka, A. Zarkasi, and D. R Santoso, ‘Development of low cost EIT equipment for educational purposes’, in Journal of Physics: Conference Series, Institute of Physics Publishing, Feb. 2019. doi: 10.1088/1742-6596/1153/1/012041.

E. Teschner, M. Imhoff, and S. Leonhardt, Electrical Impedance Tomography: The realisation of regional ventilation monitoring, 2nd ed. Lübeck: Dräger Medical GmbH, 2015.

C.-C. Chang et al., ‘Electrical impedance tomography for non-invasive identification of fatty liver infiltrate in overweight individuals’, Sci Rep, vol. 11, no. 1, p. 19859, Oct. 2021, doi: 10.1038/s41598-021-99132-z.

C. L. Yang, ‘Electrical Impedance Tomography: Algorithms and Applications’, Thesis, University of Bath, 2014.

B. Lobo, C. Hermosa, A. Abella, and F. Gordo, ‘Electrical impedance tomography’, Ann Transl Med, vol. 6, no. 2, p. 26, 2018, doi: 10.1201/b12939.

Y. Shi, Z. Yang, F. Xie, S. Ren, and S. Xu, ‘The Research Progress of Electrical Impedance Tomography for Lung Monitoring’, Front Bioeng Biotechnol, vol. 9, no. October, pp. 1–16, Oct. 2021, doi: 10.3389/fbioe.2021.726652.

Y. Wu, F. F. Hanzaee, D. Jiang, R. H. Bayford, and A. Demosthenous, ‘Electrical Impedance Tomography for Biomedical Applications: Circuits and Systems Review’, IEEE Open Journal of Circuits and Systems, vol. 2, pp. 380–397, 2021, doi: 10.1109/ojcas.2021.3075302.

S. Gschoßmann, Y. Zhao, and M. Schagerl, ‘Development of data acquisition devices for electrical impedance tomography of composite materials’, in ECCM 2016 - Proceeding of the 17th European Conference on Composite Materials, 2016, pp. 1–9.

S. Nonn, M. Schagerl, Y. Zhao, S. Gschossmann, and C. Kralovec, ‘Application of electrical impedance tomography to an anisotropic carbon fiber-reinforced polymer composite laminate for damage localization’, Compos Sci Technol, vol. 160, no. 2018, pp. 231–236, May 2018, doi: 10.1016/j.compscitech.2018.03.031.

D. D. J. Corona-Lopez, S. Sommer, S. A. Rolfe, F. Podd, and B. D. Grieve, ‘Electrical impedance tomography as a tool for phenotyping plant roots’, Plant Methods, vol. 15, no. 1, p. 49, Dec. 2019, doi: 10.1186/s13007-019-0438-4.

Y. Zhang, R. Xiao, and C. Harrison, ‘Advancing hand gesture recognition with high resolution electrical impedance tomography’, UIST 2016 - Proceedings of the 29th Annual Symposium on User Interface Software and Technology, pp. 843–850, 2016, doi: 10.1145/2984511.2984574.

J. Zhu et al., ‘EIT-kit: An Electrical Impedance Tomography Toolkit for Health and Motion Sensing’, UIST 2021 - Proceedings of the 34th Annual ACM Symposium on User Interface Software and Technology, pp. 400–413, 2021, doi: 10.1145/3472749.3474758.

Z. Wang, S. Yue, H. Wang, and Y. Wang, ‘Data preprocessing methods for electrical impedance tomography: A review’, Physiol Meas, vol. 41, no. 9, 2020, doi: 10.1088/1361-6579/abb142.

J. P. Leitzke and H. Zangl, ‘Low-power electrical impedance tomography spectroscopy’, COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, vol. 38, no. 5, pp. 1480–1492, 2019, doi: 10.1108/COMPEL-12-2018-0530.

A. Widodo and Endarko, ‘Design of low-cost and high-speed portable two-dimensional electrical impedance tomography ( EIT )’, International Journal of Engineering & Technology, vol. 7, no. 4, pp. 6458–6463, 2018, doi: 10.14419/ijet.v7i4.23298.

T. K. Bera, ‘Applications of Electrical Impedance Tomography (EIT): A Short Review’, IOP Conf Ser Mater Sci Eng, vol. 331, no. 1, p. 012004, Mar. 2018, doi: 10.1088/1757-899X/331/1/012004.

S. Russo, S. Nefti-Meziani, N. Carbonaro, and A. Tognetti, ‘Development of a High-Speed Current Injection and Voltage Measurement System for Electrical Impedance Tomography-Based Stretchable Sensors’, Technologies (Basel), vol. 5, no. 3, p. 48, 2017, doi: 10.3390/technologies5030048.

N. V Ranade and D. C. Gharpure, ‘Design and development of instrumentation for acquiring electrical impedance tomography data’, in 2015 2nd International Symposium on Physics and Technology of Sensors (ISPTS), IEEE, Mar. 2015, pp. 97–101. doi: 10.1109/ISPTS.2015.7220091.

A. Adler and A. Boyle, ‘Electrical impedance tomography: Tissue properties to image measures’, IEEE Trans Biomed Eng, vol. 64, no. 11, pp. 2494–2504, 2017, doi: 10.1109/TBME.2017.2728323.

F. Pennati et al., ‘Electrical Impedance Tomography: From the Traditional Design to the Novel Frontier of Wearables’, Sensors, vol. 23, no. 3, pp. 1–21, 2023, doi: 10.3390/s23031182.

Z. Wang, S. Yue, X. Liu, A. McEwan, B. Sun, and H. Wang, ‘Estimating Homogeneous Reference Frame for Absolute Electrical Impedance Tomography through Measurements and Scale Feature’, IEEE Trans Instrum Meas, vol. 70, 2021, doi: 10.1109/TIM.2020.3036076.

Z. Xu et al., ‘Development of a Portable Electrical Impedance Tomography System for Biomedical Applications’, IEEE Sens J, vol. 18, no. 19, pp. 8117–8124, 2018, doi: 10.1109/JSEN.2018.2864539.

S. Aldar, S. Chavan, D. Patil, and P. Chimurkar, ‘Instrumentation of Data Acquisition for EIT’, Int J Comput Appl, vol. 177, no. 33, pp. 12–16, 2020, doi: 10.5120/ijca2020919799.

A. Ansory, P. Prajitno, and S. K. Wijaya, ‘Design and development of electrical impedance tomography system with 32 electrodes and microcontroller’, AIP Conf Proc, vol. 1933, no. February 2018, 2018, doi: 10.1063/1.5023993.

T. K. Bera and J. Nagaraju, ‘A MATLAB-Based Boundary Data Simulator for Studying the Resistivity Reconstruction Using Neighbouring Current Pattern’, J Med Eng, vol. 2013, pp. 1–15, May 2013, doi: 10.1155/2013/193578.

T. Zhang, G. Y. Jang, Y. E. Kim, T. I. Oh, H. Wi, and E. J. Woo, ‘Influence of current injection scheme on electrical impedance tomography for monitoring of the respiratory function of obese subjects’, J Appl Phys, vol. 128, no. 17, p. 174902, Nov. 2020, doi: 10.1063/5.0022704.

Z. Kamus, A. Nofrianto, Y. W. Satwika, E. Ekawati, and D. Kurniadi, ‘Optimization of Object Injection Current in the Development of Electrical Impedance Tomography for Bone Fracture Detection’, J Phys Conf Ser, vol. 2309, no. 1, p. 012034, Jul. 2022, doi: 10.1088/1742-6596/2309/1/012034.

G. Singh, S. Anand, B. Lall, A. Srivastava, and V. Singh, ‘Low-cost multifrequency electrical impedance-based system (MFEIBS) for clinical imaging: design and performance evaluation’, J Med Eng Technol, vol. 42, no. 4, pp. 274–289, May 2018, doi: 10.1080/03091902.2018.1478008.

M. Khalighi and M. Mikaeili, ‘A floating wide-band current source for electrical impedance tomography’, Review of Scientific Instruments, vol. 89, no. 8, 2018, doi: 10.1063/1.5028435.

G. Singh, S. Anand, B. Lall, A. Srivastava, V. Singh, and H. Singh, ‘Practical phantom study of low cost portable EIT based cancer screening device’, in 2016 IEEE Long Island Systems, Applications and Technology Conference (LISAT), IEEE, Apr. 2016, pp. 1–6. doi: 10.1109/LISAT.2016.7494151.

T. Sun, S. Tsuda, K.-P. Zauner, and H. Morgan, ‘On-chip electrical impedance tomography for imaging biological cells’, Biosens Bioelectron, vol. 25, no. 5, pp. 1109–1115, 2010, doi: https://doi.org/10.1016/j.bios.2009.09.036.

Y. Granot and B. Rubinsky, ‘Frequency Marked Electrodes in Electrical Impedance Tomography’, in 13th International Conference on Electrical Bioimpedance and the 8th Conference on Electrical Impedance Tomography, H. Scharfetter and R. Merwa, Eds., Berlin, Heidelberg: Springer Berlin Heidelberg, 2007, pp. 380–383.

B. Gong, S. Krueger-Ziolek, and K. Moeller, ‘An efficient classification-reconstruction method for 3D EIT imaging’, IFAC-PapersOnLine, vol. 51, no. 27, pp. 36–40, Jan. 2018, doi: 10.1016/J.IFACOL.2018.11.604.

L. Hongzheng, Y. Haiyan, S. Zhen, S. Shougang, and W. Kuan, ‘Design of High Precision Digital AC Constant Current Source’, 2018.

L. Cao et al., ‘A novel time-difference electrical impedance tomography algorithm using multi-frequency information’, Biomed Eng Online, vol. 18, no. 1, p. 84, 2019, doi: 10.1186/s12938-019-0703-9.

R. Basak and K. A. Wahid, ‘A Rapid, Low-Cost, and High-Precision Multifrequency Electrical Impedance Tomography Data Acquisition System for Plant Phenotyping’, Remote Sens (Basel), vol. 14, no. 13, Jul. 2022, doi: 10.3390/rs14133214.

S. Mansouri, S. Chabchoub, Y. Alharbi, and A. Alshrouf, ‘EIT 40-Electrodes Breast Cancer Detection and Screening’, IEEJ Transactions on Electrical and Electronic Engineering, vol. 17, no. 8, pp. 1141–1147, Aug. 2022, doi: https://doi.org/10.1002/tee.23605.

L. Yang et al., ‘Evaluation of adjacent and opposite current injection patterns for a wearable chest electrical impedance tomography system’, Physiol Meas, vol. 45, no. 2, p. 025004, 2024, doi: 10.1088/1361-6579/ad2215.

S. Egan and G. P. Curley, ‘What is the role of PEEP and recruitment maneuvers in ARDS?’, Evidence-Based Practice of Critical Care, pp. 50-56.e1, Jan. 2019, doi: 10.1016/B978-0-323-64068-8.00017-1.

V. Tomicic and R. Cornejo, ‘Lung monitoring with electrical impedance tomography: Technical considerations and clinical applications’, Jul. 01, 2019, AME Publishing Company. doi: 10.21037/jtd.2019.06.27.

L. Yang et al., ‘A Wireless, Low-Power, and Miniaturized EIT System for Remote and Long-Term Monitoring of Lung Ventilation in the Isolation Ward of ICU’, IEEE Trans Instrum Meas, vol. 70, 2021, doi: 10.1109/TIM.2021.3085970.

T. Zhang et al., ‘Advances of deep learning in electrical impedance tomography image reconstruction’, Dec. 14, 2022, Frontiers Media S.A. doi: 10.3389/fbioe.2022.1019531.

T. Zhang, G. Y. Jang, Y. E. Kim, T. I. Oh, H. Wi, and E. J. Woo, ‘Influence of current injection scheme on electrical impedance tomography for monitoring of the respiratory function of obese subjects’, J Appl Phys, vol. 128, no. 17, p. 174902, Nov. 2020, doi: 10.1063/5.0022704.

T. K. Bera, A. Chowdhury, H. Mandai, K. Kar, A. Haider, and J. Nagaraju, ‘Thin domain wide electrode (TDWE) phantoms for Electrical Impedance Tomography (EIT)’, in Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT), IEEE, Feb. 2015, pp. 1–5. doi: 10.1109/C3IT.2015.7060223.

K. Liu et al., ‘Artificial Sensitive Skin for Robotics Based on Electrical Impedance Tomography’, Intelligent Systems, pp. 1–13, Mar. 2020, doi: 10.1002/aisy.201900161.

A. Widodo, A. Rubiyanto, and E. Endarko, ‘The Influence of Multi-frequency Current Injection in Image Reconstruction for Two-Dimensional High-Speed Electrical Impedance Tomography (EIT)’, IPTEK The Journal of Engineering, vol. 5, no. 1, pp. 5–8, 2019, doi: 10.12962/joe.v5i1.5019.

License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Authors who publish with Indonesian Physical Review Journal, agree to the following terms:

Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International Licence (CC BY SA-4.0). This license allows authors to use all articles, data sets, graphics, and appendices in data mining applications, search engines, web sites, blogs, and other platforms by providing an appropriate reference. The journal allows the author(s) to hold the copyright without restrictions and will retain publishing rights without restrictions.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in Indonesian Physical Review Journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

A GUI-BASED DATA ACQUISITION SYSTEM FOR EIT USING TWO CURRENT INJECTION METHODS

Authors

DOI:

Published:

Issue:

Keywords:

Articles

Downloads

How to Cite

Abstract

References

License

Official Website Of

Indonesian Physical Review, University of Mataram

Contact Us

Official link

Share & Follow