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Projekt Druckansicht

Entwicklung und Anwendung einer neuen Feldberechnungsmethode in der biomedizinischen Technik

Antragstellerin Dr.-Ing. Bojana Petkovic
Fachliche Zuordnung Elektronische Halbleiter, Bauelemente und Schaltungen, Integrierte Systeme, Sensorik, Theoretische Elektrotechnik
Förderung Förderung von 2015 bis 2018
Projektkennung Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 271533044
 
Erstellungsjahr 2018

Zusammenfassung der Projektergebnisse

We have introduced a new numerical method for the determination of propagation of volume currents produced by sources in the brain and in the heart and simulated the distribution of the electric scalar potential at a number of locations on the head and torso surface. The method is based on accumulation of charges on boundary layers which occur wherever there is a non‐zero component of the electric field parallel to the gradient of conductivity. In this way, we have established a theoretical foundation for electoencephalography (EEG) and electrocardiography (ECG) recordings that does not require numerical integration and can be implemented in a very simple way. The EEG and ECG signals are comprehensively compared against reference boundary element and finite element solutions, respectively, through topography and magnitude errors. Additionally, a distribution of the electric field intensity inside an one‐layer sphere used as the head model during the Transcranial Magnetic Stimulation has been accurately determined. However, calculation of the magnetic field produced by sources in the brain or in the heart did not yet yield satisfactory results. The Boundary element source method has been applied to determine the eddy currents induced in a conductive specimen, translatory moving in the field of a permanent magnet. Based on these currents, we further determined Lorentz forces acting on a magnet due to their interaction with the field of a permanent magnet. These forces are the key component of the novel technique for the characterization of deep lying defects in conductive materials, referred to as Lorentz force evaluation. Our method has some difficulties: first, it shows lack of accuracy when there is a large conductivity difference inside a model, especially in the case of extremely thin layers and, second, close proximity of the source to the boundary layer introduces numerical errors into the forward computation. These difficulties apply particularly to the EEG forward problem and can be partially overcome by an isolated problem approach and a local refinement strategy, respectively. To conclude, the main concern during this project was to build a mathematical model rich enough to provide realistic bioelectromagnetic and Lorentz force signals and simple enough to be easily implemented. In spite of its shortcomings, the proposed approach essentially fulfills these requirements and is therefore a good candidate to address inverse problems. This will be a part of future works.

Projektbezogene Publikationen (Auswahl)

 
 

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