nrv.eit

Description

EIT models - eit: Handles the simulation of Electrical Impedance Tomography (EIT) in peripheral nerve.

This subpackage provides tools and classes for simulating, analyzing, and reconstructing electrical impedance tomography (EIT) in neural tissues.

Main modules:

  • _eit_forward.py: Forward EIT simulation routines for 2D and 3D domains.

  • _eit_inverse.py: Inverse EIT algorithms for reconstructing conductivity maps.

  • _eit2d.py, _eit3d.py: Specialized 2D and 3D EIT solvers and utilities.

  • _pyeit_inverse.py: Integration with PyEIT for advanced inverse methods.

  • results/: Classes for storing and managing EIT simulation and reconstruction results.

  • utils/: Plotting, protocol management, and miscellaneous EIT utilities.

Features:

  • Forward and inverse EIT solvers for neural applications.

  • Support for multiple geometries and protocols.

  • Result management and visualization tools.

  • Utilities for protocol definition and plotting.

See also

EIT users guide — For generic description.

Tutorial 6 — For usage description.

Subpackages

utils

eit util: utils function and class specific to eit sub-package.

results

eit Results: standardized result gathering for eit simulations.

Classes

eit_forward(nervedata[, res_dname, label])

Abstract base class for Electrical Impedance Tomography (EIT) forward simulation in neural contexts.

eit_inverse([data])

Abstract base class for solving the Electrical Impedance Tomography (EIT) inverse problem.

EIT3DProblem(nervefile[, res_dname, label])

End-used class for Electrical Impedance Tomography (EIT) forward simulation in neural contexts In a 3D.

EIT2DProblem(nervefile[, res_dname, label])

End-used class for Electrical Impedance Tomography (EIT) forward simulation in neural contexts solved with a 2D approximation.

pyeit_inverse([data, method])

Subclass of eit_inverse for performing Electrical Impedance Tomography (EIT) inverse problem solving using PyEIT methods.