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Tesi etd-04042019-012156


Thesis type
Tesi di laurea magistrale
Author
ROMENI, SIMONE
URN
etd-04042019-012156
Title
A computational framework for development and characterization of peripheral neuroprostheses
Struttura
INGEGNERIA DELL'INFORMAZIONE
Corso di studi
BIONICS ENGINEERING
Supervisors
relatore Prof. Micera, Silvestro
Parole chiave
  • nerve fiber model
  • finite element modelling
  • computational neuroscience
  • peripheral neuroprostheses
  • computational framework
Data inizio appello
24/04/2019;
Consultabilità
Secretata d'ufficio
Data di rilascio
24/04/2089
Riassunto analitico
The development of computational models for the simulation of stimulation and recording from peripheral neuroprostheses has gained attention as a fundamental tool in the design of bidirectional prosthetic applications. We present a hybrid modelling framework in which the solution to the biological volume conduction problem linked to stimulation through charge injection (and, exploiting reciprocity, neural recording) establishes the extracellular driving action for the recruitment of targeted nerve fibers. The volume conduction problem is solved employing finite element modelling and thus requires careful parametric geometrical characterization of the electrode and nerve structures, together with their main electric features. The study of fiber dynamics is carried on with the NEURON simulation framework, individuating appropriate models for motor and sensory myelinated fibers, and unmyelinated fibers. Such models are variations on the classical cable-like Hodgkin-Huxley conductance-based model of nerve fibers and provide reliable results, whose neuroscientific soundness is variably tested in our work. Finally, the hybrid framework is joined to Bensmaia's mechano-neural model to simulate the whole pipeline from mechanical stimulus to neural aggregated response in the form of a microneurogram-like signal. Some preliminary analysis are performed to assess the reliability of this model with a view to providing a complete tool for the development of neural bidirectional prostheses.
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