eit_inverse

class nrv.eit.eit_inverse(data: None | eit_forward_results = None, **kwgs)[source]

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

This class provides the interface for solving EIT problems inverse problem on nerve models eit_forward_results simulation results

EIT users guide — For generic description.

Tutorial 6 — For usage description.

Note

This class is abstract and cannot be instantiated directely. For now only the following daughter class can be used:

nrv.eit.pyeit_inverse: Interface EIT of inverse problem solving using PyEIT methods.

Note

In future version additional solver could be add to NRV.

Attributes

`eit_inverse.data`	Forward EIT data used by the inverse solver.
`eit_inverse.has_data`	Check if the object contains data.

`eit_inverse.__init__`([data])	Initialize an inverse EIT solver.
`eit_inverse.clear_all_results`()	Clears all stored results by resetting the results and results_ppt attributes to empty lists.
`eit_inverse.clear_results`([i_t, i_f, i_res])	Removes the result entry corresponding to the specified indices from the results.
`eit_inverse.fromat_data`()	Convert forward EIT data into the format expected by the inverse solver.
`eit_inverse.get_results`([i_t, i_f, i_res])	Retrieves the computed result for the specified time, frequency, and result indices.
`eit_inverse.get_results_range`([i_t, i_f, i_res])	Return the value range of one reconstructed result.
`eit_inverse.plot`(**kwgs)	Plot one reconstructed inverse result.
`eit_inverse.solve`([i_t, i_f, i_res])	Solve one or several inverse problems and cache the results.