Electrical Tomography Reconstruction Using Reconfigurable Waveforms in a FPGA
The principal objective of this research is to conceive a mobile system based on electrical tomography for subsurface imaging and monitoring in order to enable simultaneous recording of electrical potentials of cardiac and pulmonary activity. For an exploration of excitation waveforms in electrical...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/9/3272 |
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| author | Andres Vejar Tomasz Rymarczyk |
| author_facet | Andres Vejar Tomasz Rymarczyk |
| author_sort | Andres Vejar |
| collection | DOAJ |
| description | The principal objective of this research is to conceive a mobile system based on electrical tomography for subsurface imaging and monitoring in order to enable simultaneous recording of electrical potentials of cardiac and pulmonary activity. For an exploration of excitation waveforms in electrical tomography, specialized hardware is required. As the main principle of tomography is the measurement of electrical perturbations on an unknown object, it is crucial to synchronize excitation and sensing processes in a very precise way for the purpose of acquiring meaningful data. To cope with this problem, an FPGA device is used, with an architecture that allows us to trigger excitation signals and to read sensed data simultaneously via independent processes that share the same clock. In this way, waveform reconfiguration on frequency and shape can be provided and studied. The system is connected to a standard microcontroller SoC with a simple API that allows for IoT capabilities for on-line operation and tracking, given that the design is targeted for in vivo medical monitoring. As a result of the research work, a measuring device was developed, the surface data analyzed and the image was reconstructed using the selected configuration. |
| first_indexed | 2024-03-10T11:35:17Z |
| format | Article |
| id | doaj.art-15f42df64cd242f0a85bb5d841407ef0 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T11:35:17Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-15f42df64cd242f0a85bb5d841407ef02023-11-21T18:54:56ZengMDPI AGSensors1424-82202021-05-01219327210.3390/s21093272Electrical Tomography Reconstruction Using Reconfigurable Waveforms in a FPGAAndres Vejar0Tomasz Rymarczyk1Institute of Computer Science and Innovative Technologies, University of Economics and Innovation in Lublin, 20-209 Lublin, PolandInstitute of Computer Science and Innovative Technologies, University of Economics and Innovation in Lublin, 20-209 Lublin, PolandThe principal objective of this research is to conceive a mobile system based on electrical tomography for subsurface imaging and monitoring in order to enable simultaneous recording of electrical potentials of cardiac and pulmonary activity. For an exploration of excitation waveforms in electrical tomography, specialized hardware is required. As the main principle of tomography is the measurement of electrical perturbations on an unknown object, it is crucial to synchronize excitation and sensing processes in a very precise way for the purpose of acquiring meaningful data. To cope with this problem, an FPGA device is used, with an architecture that allows us to trigger excitation signals and to read sensed data simultaneously via independent processes that share the same clock. In this way, waveform reconfiguration on frequency and shape can be provided and studied. The system is connected to a standard microcontroller SoC with a simple API that allows for IoT capabilities for on-line operation and tracking, given that the design is targeted for in vivo medical monitoring. As a result of the research work, a measuring device was developed, the surface data analyzed and the image was reconstructed using the selected configuration.https://www.mdpi.com/1424-8220/21/9/3272electrical tomographyFPGApotential profiletomographic imaging |
| spellingShingle | Andres Vejar Tomasz Rymarczyk Electrical Tomography Reconstruction Using Reconfigurable Waveforms in a FPGA Sensors electrical tomography FPGA potential profile tomographic imaging |
| title | Electrical Tomography Reconstruction Using Reconfigurable Waveforms in a FPGA |
| title_full | Electrical Tomography Reconstruction Using Reconfigurable Waveforms in a FPGA |
| title_fullStr | Electrical Tomography Reconstruction Using Reconfigurable Waveforms in a FPGA |
| title_full_unstemmed | Electrical Tomography Reconstruction Using Reconfigurable Waveforms in a FPGA |
| title_short | Electrical Tomography Reconstruction Using Reconfigurable Waveforms in a FPGA |
| title_sort | electrical tomography reconstruction using reconfigurable waveforms in a fpga |
| topic | electrical tomography FPGA potential profile tomographic imaging |
| url | https://www.mdpi.com/1424-8220/21/9/3272 |
| work_keys_str_mv | AT andresvejar electricaltomographyreconstructionusingreconfigurablewaveformsinafpga AT tomaszrymarczyk electricaltomographyreconstructionusingreconfigurablewaveformsinafpga |