projection

class processing.projection.Projection(settings: NMSettings, grid_cortex: pd.DataFrame, grid_subcortex: pd.DataFrame, coords: dict, channels: pd.DataFrame, plot_projection: bool = False)

calc_proj_matrix(max_dist: float, grid: ndarray, coord_array: ndarray) → ndarray

Calculate projection matrix.

calc_projection_matrix()

Calculates a projection matrix based on the used coordinate arrays

Returns:

• proj_matrix_cortex (np.array) – cortical projection_matrix in shape [grid contacts, channel contact] defaults to None

• proj_matrix_subcortex (np.array) – subcortical projection_matrix in shape [grid contacts, channel contact] defaults to None

get_projected_cortex_subcortex_data(dat_cortex: ndarray | None = None, dat_subcortex: ndarray | None = None) → tuple[ndarray | None, ndarray | None]

Project cortical and subcortical data to predefined projection matrices

Parameters:

• dat_cortex (np.ndarray, optional) – cortical features, by default None

• dat_subcortex (np.ndarray, optional) – subcortical features, by default None

Returns:

• proj_cortex (np.ndarray) – projected cortical features, by detault None

• proj_subcortex (np.ndarray) – projected subcortical features, by detault None

init_projection_run(feature_dict: dict) → None

Initialize indexes for respective channels in feature series computed by features.py

project_features(feature_dict: dict) → None

Project data, given idx_chs_ecog/stn