Abstract
Electrical impedance tomography (EIT) is a non-invasive detection technique for human tissue imaging. However, most of the current EIT systems are complex and expensive in design. In this paper, we have developed a portable and economic EIT system, which just consists of five parts, including a data acquisition card (DAQ), a power module, a signal generator, a voltage-controlled current source, and a multiplexer module. The fast Fourier transform is used to extract the amplitude of the voltage signals collected by the DAQ. The Tikhonov regularization algorithm is adopted to reconstruct the image of conductivity distribution. Experiments on a practical phantom were designed and conducted to validate the performance of the system. The results showed that the developed system has an average signal-to-noise ratio of 65 dB for measurement channels and a high imaging signal accuracy of 0.99. The conductivity distribution in the phantom was successfully reconstructed by the developed EIT system.
This work was supported by the National Natural Science Foundation of China (U1913208, 61873135) and the Chinese fundamental research funds for the central universities.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Adler, A., Boyle, A.: Electrical impedance tomography: tissue properties to image measures. IEEE Trans. Biomed. Eng. 64(11), 2494–2504 (2017)
Association, J.S.: Medical electrical equipment - part 1: general requirements for basic safety and essential performance. Japanese J. Radiol. Technol. 56(11), 1332–1333 (2005)
Brandstatter, B.: Jacobian calculation for electrical impedance tomography based on the reciprocity principle. IEEE Trans. Magn. 39(3), 1309–1312 (2003)
Chitturi, V., Farrukh, N.: Spatial resolution in electrical impedance tomography: a topical review. J. Electr. Bioimpedance 8(1), 66–78 (2017)
Djajaputra, D.: Electrical impedance tomography: methods, history and applications. Med. Phys. 32(8), 2731 (2005)
Fan, W.R., Wang, H.X.: Maximum entropy regularization method for electrical impedance tomography combined with a normalized sensitivity map. Flow Meas. Instrum. 21(3), 277–283 (2010)
Gomez-Laberge, C., Arnold, J.H., Wolf, G.K.: A unified approach for eit imaging of regional overdistension and atelectasis in acute lung injury. IEEE Trans. Med. Imaging 31(3), 834–842 (2012)
Shi, X., et al.: High-precision electrical impedance tomography data acquisition system for brain imaging. IEEE Sens. J. 18(14), 5974–5984 (2018)
Shi, Y., Zhang, X., Rao, Z., Wang, M., Soleimani, M.: Reduction of staircase effect with total generalized variation regularization for electrical impedance tomography. IEEE Sens. J. 19(21), 9850–9858 (2019)
Tan, C., Liu, S., Jia, J., Dong, F.: A wideband electrical impedance tomography system based on sensitive bioimpedance spectrum bandwidth. IEEE Trans. Instr. Measurement, 1–11 (2019)
Vauhkonen, M., Vadasz, D.: Tikhonov regularization and prior information in electrical impedance tomography. IEEE Trans. Med. Imaging 17(2), 285–293 (1998)
Wi, H., Sohal, H., Mcewan, A.L., Woo, E.J., Oh, T.I.: Multi-frequency electrical impedance tomography system with automatic self-calibration for long-term monitoring. IEEE Trans. Biomed. Circuits Syst. 8(1), 119–128 (2014)
Wilson, A.J., Milnes, P., Waterworth, A.R., Smallwood, R.H., Brown, B.H.: Mk3.5: a modular, multi-frequency successor to the mk3a eis/eit system. Physiol. Measurement 22(1), 49–54 (2001)
Wu, Y., Jiang, D., Bardill, A., de Gelidi, S., Bayford, R., Demosthenous, A.: A high frame rate wearable eit system using active electrode asics for lung respiration and heart rate monitoring. IEEE Trans. Circuits Syst. I Regul. Pap. 65(11), 3810–3820 (2018)
Yerworth, R.J., Bayford, R.H., Cusick, G., Conway, M., Holder, D.S.: Design and performance of the uclh mark 1b 64 channel electrical impedance tomography (eit) system, optimized for imaging brain function. Physiol. Meas. 23(1), 149–158 (2002)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Xu, J., Lu, J., Zhang, S., Yu, N., Han, J. (2021). Design and Development of a Portable Electrical Impedance Tomography System. In: Liu, XJ., Nie, Z., Yu, J., Xie, F., Song, R. (eds) Intelligent Robotics and Applications. ICIRA 2021. Lecture Notes in Computer Science(), vol 13014. Springer, Cham. https://doi.org/10.1007/978-3-030-89098-8_40
Download citation
DOI: https://doi.org/10.1007/978-3-030-89098-8_40
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-89097-1
Online ISBN: 978-3-030-89098-8
eBook Packages: Computer ScienceComputer Science (R0)