eit_forward_results.dv_eit_normalized

eit_forward_results.dv_eit_normalized(t: ndarray | float | None = None, i_t: ndarray | int | None = None, i_e: ndarray | int | None = None, i_f: ndarray | int | None = None, i_p: ndarray | int | None = None, pc: bool = False, axis: ndarray | int | None = None, **kwgs)[source]

Return the absolute differential EIT signal normalized by its maximum.

Parameters:

  • t (np.ndarray | float | None, optional) – Evaluation times.

  • i_t (np.ndarray | int | None, optional) – Indices selecting times, electrodes, frequencies, and patterns.

  • i_e (np.ndarray | int | None, optional) – Indices selecting times, electrodes, frequencies, and patterns.

  • i_f (np.ndarray | int | None, optional) – Indices selecting times, electrodes, frequencies, and patterns.

  • i_p (np.ndarray | int | None, optional) – Indices selecting times, electrodes, frequencies, and patterns.

  • pc (bool, optional) – If True, normalize the percentage variation instead of the raw variation.

  • axis (np.ndarray | int | None, optional) – Axis along which the maximum is computed. Defaults to the time axis.

  • **kwgs (dict) – Additional keyword arguments forwarded to dv_eit().

Returns:

Normalized absolute differential signal.

Return type:

np.ndarray