Analysis and Validation of medical Application through Electrical Impedance based System

Authors

  • Ramesh Kumar Dr B R Ambedkar National Institute of Technology http://orcid.org/0000-0003-1979-3699
  • Sharwan Kumar Dr B R Ambedkar National Institute of Technology
  • A. Gupta Indian Institute of Technology

DOI:

https://doi.org/10.18201/ijisae.2018637925

Keywords:

Impedance Tomography, Image Reconstruction, impedance plethysmography, Phantom, morphological Information

Abstract

This paper discussed the Design and implementation of the electrical impedance-based system, which covers both techniques (Impedance Plethysmography (IPG) and Electrical Impedance Tomography (EIT)). The electrical impedance distribution image of the cross section of a phantom based on current excitation and voltage measurement using electrodes pair is reconstructs image according to the electrical property of the medical phantom. The electrical impedance based image provides the significant morphological information. Image quality depends upon many other iterative process and image processing algorithms in addition to.  The hardware designing of the system is a most important part for all impedance-based techniques. In measurement section, the current source of the electrical impedance-based system should supply multi-frequency signal for measurement because it provides more useful information about the phantom.  Therefore, a signal source that provides accurate excitation and a reference signal for measurement are more useful.  Matlab is used for image reconstruction and processing of the impedance data.

Downloads

Download data is not yet available.

References

Holder, D. S. Electrical Impedance Tomography Methods, History and Applications. Institute of Physics Publishing Bristol and Philadelphia, (2005)

Rahim, R. A., Huei, L. Y. I., San, C. K. O. K., Fea, P. J. O. N., & Lean, L. C.. The initial result on electrical impedance tomography. Engineering, 39(D), 105–112. (2003)

Bera, T. K., & Nagaraju, J., A simple instrumentation calibration technique for electrical impedance tomography (EIT) using A 16-electrode phantom. 2009 IEEE International Conference on Automation Science and Engineering, CASE 2009, 347–352. (2009)

Kumar R, Pahuja SK, Sengupta A. Phantom based Analysis and Validation using Electrical Impedance Tomography. Journal of Instrumentation Technology and Innovation.; 5(3): 17–23p, (2015)

Bera, T. K., & Nagaraju, J. An FEM-based forward solver for studying the forward problem of electrical impedance tomography (EIT) with a practical biological phantom. 2009 IEEE International Advance Computing Conference, IACC 2009, (March), 1375–1381. (2009)

Kumar, S., Anand, S., & Sengupta, A. Development of a non – invasive point of care diagnostic tool for fetal monitoring using electrical impedance based approach, 2013 IEEE PHT, 2013, 16–18. (2013)

Dong, F., Xu, C., Zhang, Z., Ren, S., & DONG Feng *, XU Cong, Z. Z. and R. S. The design of parallel electrical resistance tomography system for measuring multiphase flow. Chinese Journal of Chemical Engineering, 20(2), 368–379. (2012)

Attenburrow, D. P., Flack, F. C., & Portergill, M. J. Impedance plethysmography. Equine Veterinary Journal, 22(2), 114–117.(1990)

Bagshaw, A. P., Liston, A. D., Bayford, R. H., Tizzard, A., Gibson, A. P., Tidswell, a. T., … Holder, D. S. Electrical impedance tomography of human brain function using reconstruction algorithms based on the finite element method. NeuroImage, 20, 752–764. (2003)

Hong, S., Lee, J., Bae, J., & Yoo, H. A 10. 4 mW Electrical Impedance Tomography SoC for Portable Real-time Lung Ventilation Monitoring System, 4–7. (2014)

Soleimani, M. Electrical impedance tomography imaging a priori ultrasound data. Bio Medical Engineering Online, 8, 1–8. (2006)

Anand, S., Sengupta, A., Mahajan, R., & Pahuja, S. K. Fabrication of microcontroller based multipurpose measuring system with inbuilt data acquisition. ICBBT 2010, 2010, 10–13.

Robert F. Coughlin, Frederick F. Driscoll, Operational Amplifiers and Linear Integrated Circuits, Prentice Hall, (2000).

K Aleksanyan, I Gorbatenko Nikolay, T. Development of the hardware-software complex for electrical impedance tomography of biological objects. Journal of Aalied Sciences 9, 9(12), 1030–1033. (2014)

Ramesh Kumar, Sarwan Kumar, Amit Sengupta., a Review: Electrical Impedance Tomography System and Its Application. Journal of Control & Instrumentation, 7(2): 14–22p. (2016)

Downloads

Published

29.03.2018

How to Cite

Kumar, R., Kumar, S., & Gupta, A. (2018). Analysis and Validation of medical Application through Electrical Impedance based System. International Journal of Intelligent Systems and Applications in Engineering, 6(1), 14–18. https://doi.org/10.18201/ijisae.2018637925

Issue

Section

Research Article