<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Electrical impedance tomography (EIT) has a large potential as a two dimensional imaging technique and is gaining attention among researchers across various fields of engineering. Beamforming techniques stem from the array signal processing field and is used for spatial filtering of array data to evaluate the location of objects. In this work the circular electrodes are treated as an array of sensors and beamforming technique is used to localize the object(s) in an electrical field. The conductivity distributions within a test tank is obtained by an EIT system in terms of electrode voltages. These voltages are then interpolated using elliptic partial differential equations. Finally, a narrowband beamformer detects the peak in the output response signal to localize the test object(s). Test results show that the beamforming technique can be used as a secondary method that may provide complementary information about accurate position of the test object(s) using an eight electrode EIT system. This method could possibly open new avenues for spatial EIT data filtering techniques with an understanding that the inverse problem is more likely considered here as a source localization algorithm instead as an image reconstruction algorithm.</p></abstract>

Electrical impedance tomography (EIT) has a large potential as a two dimensional imaging technique and is gaining attention among researchers across various fields of engineering. Beamforming techniques stem from the array signal processing field and is used for spatial filtering of array data to evaluate the location of objects. In this work the circular electrodes are treated as an array of sensors and beamforming technique is used to localize the object(s) in an electrical field. The conductivity distributions within a test tank is obtained by an EIT system in terms of electrode voltages. These voltages are then interpolated using elliptic partial differential equations. Finally, a narrowband beamformer detects the peak in the output response signal to localize the test object(s). Test results show that the beamforming technique can be used as a secondary method that may provide complementary information about accurate position of the test object(s) using an eight electrode EIT system. This method could possibly open new avenues for spatial EIT data filtering techniques with an understanding that the inverse problem is more likely considered here as a source localization algorithm instead as an image reconstruction algorithm.

Narrowband array processing beamforming technique for electrical impedance tomography

Asia Pacific University of Technology and Innovation, TPM

Journal of Electrical Bioimpedance

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Electrical impedance tomography (EIT) has a large potential as a two dimensional imaging technique and is gaining attention among researchers across various...

Narrowband array processing beamforming technique for electrical impedance tomography

Published Online: Dec 31, 2019

Page range: 96 - 102

Received: Nov 17, 2019

DOI: https://doi.org/10.2478/joeb-2019-0014

Keywords
Array processing, beamforming, EIDORS, electrical impedance tomography, numerical methods, source localization

© 2019 Venkatratnam Chitturi et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Narrowband array processing beamforming technique for electrical impedance tomography

Published Online: Dec 31, 2019

Page range: 96 - 102

Received: Nov 17, 2019

DOI: https://doi.org/10.2478/joeb-2019-0014

KeywordsArray processing, beamforming, EIDORS, electrical impedance tomography, numerical methods, source localization

© 2019 Venkatratnam Chitturi et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
Array processing, beamforming, EIDORS, electrical impedance tomography, numerical methods, source localization