meeg_utils.qc.Digitization#

class meeg_utils.qc.Digitization[source]#

Electrode positions, head digitization and head-to-sensor distance.

EEG channels without positions cannot be interpolated or plotted.
A sphere fitted to the digitized head shape (mne.bem.fit_sphere_to_headshape()) should have a plausible radius (50-108.5 mm, the range MNE accepts) and a centre near the head-frame origin (within 20 mm in x/y, where MNE warns).
For MEG, the device-to-head transform must have been measured, and the distance between the head (sphere surface) and the sensors is reported: a large gap lowers the signal-to-noise ratio.

metrics_#

n_points by kind, eeg_without_position, head_radius_mm, origin_mm, and for MEG min_gap_mm / median_gap_mm.

Notes

Figures: "headshape" (digitized points, fitted sphere and MEG sensors in three views).

Methods

`__init__`()
`compute`(raw)	Measure the recording.
`get_metadata_routing`()	Get metadata routing of this object.
`get_params`([deep])	Get parameters for this estimator.
`not_applicable`(raw)	Return why the check cannot run on `raw`, or `None` if it can.
`plot`([kind, inst])	Draw quality-control figures.
`set_params`(**params)	Set the parameters of this estimator.

Attributes

`level`	The worst verdict of the findings (`"ok"` if there are none).
`modalities`	Data types the check needs at least one of ("meg", "eeg").
`name`	Key of the check in reports.
`plot_kinds`	kind -> whether it needs data (`inst`).
`systems`	Acquisition systems the check applies to; `None` means all.

plot_kinds: ClassVar[dict[str, bool]] = {'headshape': False}#

kind -> whether it needs data (inst). Each kind is drawn by a _plot_<kind>(inst, **kwargs) method.