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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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2021-05, Vol.21 (9), p.3272
Main Authors: Vejar, Andres, Rymarczyk, Tomasz
Format: Article
Language:English
Subjects:
Algorithms
Data acquisition
Electric currents
electrical tomography
Energy
Excitation
Field programmable gate arrays
FPGA
Internet of Things
Measuring instruments
Medical research
Monitoring
potential profile
Reconfiguration
Sensors
Signal processing
Skin
Spectrum analysis
tomographic imaging
Tomography
Waveforms
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Summary: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.
ISSN:1424-8220
1424-8220
DOI:10.3390/s21093272