Narrowband array processing beamforming technique for electrical impedance tomography
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 ev...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2019-12-01
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| Series: | Journal of Electrical Bioimpedance |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/joeb-2019-0014 |
| _version_ | 1811342924305137664 |
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| author | Chitturi Venkatratnam Farrukh Nagi |
| author_facet | Chitturi Venkatratnam Farrukh Nagi |
| author_sort | Chitturi Venkatratnam |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T19:20:39Z |
| format | Article |
| id | doaj.art-c4e2bb7f018b48ad9b97bcadd7affd56 |
| institution | Directory Open Access Journal |
| issn | 1891-5469 |
| language | English |
| last_indexed | 2024-04-13T19:20:39Z |
| publishDate | 2019-12-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Journal of Electrical Bioimpedance |
| spelling | doaj.art-c4e2bb7f018b48ad9b97bcadd7affd562022-12-22T02:33:33ZengSciendoJournal of Electrical Bioimpedance1891-54692019-12-011019610210.2478/joeb-2019-0014Narrowband array processing beamforming technique for electrical impedance tomographyChitturi Venkatratnam0Farrukh Nagi1Asia Pacific University of Technology and Innovation, TPM, Bukit Jalil, MalaysiaDepartment of Mechanical Engineering, UniTEN, Selangor, MalaysiaElectrical 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.https://doi.org/10.2478/joeb-2019-0014array processingbeamformingeidorselectrical impedance tomographynumerical methodssource localization |
| spellingShingle | Chitturi Venkatratnam Farrukh Nagi Narrowband array processing beamforming technique for electrical impedance tomography Journal of Electrical Bioimpedance array processing beamforming eidors electrical impedance tomography numerical methods source localization |
| title | Narrowband array processing beamforming technique for electrical impedance tomography |
| title_full | Narrowband array processing beamforming technique for electrical impedance tomography |
| title_fullStr | Narrowband array processing beamforming technique for electrical impedance tomography |
| title_full_unstemmed | Narrowband array processing beamforming technique for electrical impedance tomography |
| title_short | Narrowband array processing beamforming technique for electrical impedance tomography |
| title_sort | narrowband array processing beamforming technique for electrical impedance tomography |
| topic | array processing beamforming eidors electrical impedance tomography numerical methods source localization |
| url | https://doi.org/10.2478/joeb-2019-0014 |
| work_keys_str_mv | AT chitturivenkatratnam narrowbandarrayprocessingbeamformingtechniqueforelectricalimpedancetomography AT farrukhnagi narrowbandarrayprocessingbeamformingtechniqueforelectricalimpedancetomography |