Abstract
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.
Highlights
The main goal of the project, under which the results of this research work were presented, is to create a mobile tomographic system for 3D imaging and surface monitoring using body surface potential mapping
Two low energy methods are the most studied: echotomography and electrical impedance tomography. These techniques are non-invasive in sensu stricto, given that emitters and sensors need to be only located on the surface to get the internal distribution of acoustic or electrical impedance that after is translated to the medical image
The goal of the single-input singleoutput (SISO) data analysis is to test the waveform-reconfigurable emitter with a minimal quantity of elements
Summary
The main goal of the project, under which the results of this research work were presented, is to create a mobile tomographic system for 3D imaging and surface monitoring using body surface potential mapping. The scope of monitoring can consider myocardial function, arrhythmias, blood flow, atrioventricular conduction disturbances and lung respiratory capacity. The latter can be tracked considering the changes in lung impedance via electrical tomography [3,4]. Moderate to low energy tomographic techniques are important for the future of medical imaging, especially for safe in vivo data acquisition and for prolonged continuous monitoring. Two low energy methods are the most studied: echotomography and electrical impedance tomography These techniques are non-invasive in sensu stricto, given that emitters and sensors need to be only located on the surface (skin) to get the internal distribution of acoustic or electrical impedance that after is translated to the medical image. These techniques are pivotal to providing functional information to the patient and are especially useful in cardio-pulmonary monitoring [14,15,16,17]
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