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low frequency dosimetry including nerve stimulation modelling

Mustapha Ez Zarzouri

low frequency dosimetry including nerve stimulation modelling.

Rel. Fabio Freschi, Luca Giaccone. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettrica, 2022

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Abstract Many models have been presented in the literature, since 50s, which describe very well the behavior of nerve fibers, all of them are based on Hodgkin and Huxley’s work (1952). In this thesis a particular attention was given to SENN model (spatially extended nonlinear node), it was analyzed and then extended further to include nonlinear Frankenhaeuser and Huxley equations in all nodes. The new model obtained is easily implementable, applicable to different nerve’s structures and works with multiple classes of external stimuli. The second part of the thesis focuses on 3D-modelling. A special algorithm is used to identify the nerve voxels from a 3D body model and then approximate the structure topology with the centerline. To conclude, the model was tested using, as stimulus, a magnetic field generated by an external coil to simulate a body exposure to an external magnetic field.

Relators: Fabio Freschi, Luca Giaccone
Academic year: 2021/22
Publication type: Electronic
Number of Pages: 50
Corso di laurea: Corso di laurea magistrale in Ingegneria Elettrica
Classe di laurea: New organization > Master science > LM-28 - ELECTRICAL ENGINEERING
Aziende collaboratrici: UNSPECIFIED
URI: http://webthesis.biblio.polito.it/id/eprint/23038
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