mne.chpi.compute_head_pos¶

mne.chpi.compute_head_pos(info, chpi_locs, dist_limit=0.005, gof_limit=0.98, adjust_dig=False, verbose=None)[source]¶

Compute time-varying head positions.

Parameters

infoinstance of Info: Measurement information.
chpi_locsdict: The time-varying cHPI coils locations, with entries “times”, “rrs”, “moments”, and “gofs”. Typically obtained by compute_chpi_locs() or extract_chpi_locs_ctf().
dist_limitfloat: Minimum distance (m) to accept for coil position fitting.
gof_limitfloat: Minimum goodness of fit to accept for each coil.
adjust_digbool: If True, adjust the digitization locations used for fitting based on the positions localized at the start of the file.
verbosebool, str, int, or None: If not None, override default verbose level (see mne.verbose() and Logging documentation for more). If used, it should be passed as a keyword-argument only.

Returns

quatsndarray, shape (n_pos, 10): The [t, q1, q2, q3, x, y, z, gof, err, v] for each fit.

See also

compute_chpi_locs
extract_chpi_locs_ctf
read_head_pos
write_head_pos

Notes

New in version 0.20.

Examples using `mne.chpi.compute_head_pos`¶

Extracting and visualizing subject head movement — Extracting and visualizing subject head movement¶

Signal-space separation (SSS) and Maxwell filtering — Signal-space separation (SSS) and Maxwell filtering¶

Annotate movement artifacts and reestimate dev_head_t — Annotate movement artifacts and reestimate dev_head_t¶