eit_results_list.get_acap_mask

eit_results_list.get_acap_mask(thr: float = 0.05, t_new_cap: float | None = None, res_ax: Literal['default'] | None | tuple = 'default', **kwgs)

Detect activity masks independently for each acquisition line.

Parameters:

  • thr (float, optional) – Threshold applied after line-wise normalization.

  • t_new_cap (float | None, optional) – Optional time separating two normalization windows, useful when two CAPs should be normalized independently.

  • res_ax (Literal["default"] | None | tuple, optional) – Axes used to compute normalization maxima. "default" adapts to the internal EIT layout.

  • **kwgs (dict) – Unused placeholder kept for API symmetry.

Returns:

Boolean mask with the same shape as _dv_eit_pc.

Return type:

np.ndarray