pnpl.preprocessing.MaxwellFilter

pnpl.preprocessing.MaxwellFilter#

class pnpl.preprocessing.MaxwellFilter(step_name='sss', origin='auto', destination=(0, 0, 0.04), calibration=None, cross_talk=None)[source]#

Apply Maxwell filter (Signal Space Separation).

This step: - Separates signals from inside and outside the head - Interpolates bad channels - Optionally applies head position correction

Parameters:

  • origin (str) – Origin for spherical harmonics (‘auto’ or (x, y, z))

  • destination (Tuple[float, float, float]) – Destination for head position alignment (default: (0, 0, 0.04))

  • calibration (str | None) – Path to calibration file (auto-detected if None)

  • cross_talk (str | None) – Path to cross-talk file (auto-detected if None)

  • step_name (str)

__init__(step_name='sss', origin='auto', destination=(0, 0, 0.04), calibration=None, cross_talk=None)#
Parameters:

  • step_name (str)

  • origin (str)

  • destination (Tuple[float, float, float])

  • calibration (str | None)

  • cross_talk (str | None)

Return type:

None

Methods

__init__([step_name, origin, destination, ...])

apply(raw, context)

Apply this preprocessing step to raw data.

Attributes

calibration

cross_talk

destination

origin

step_name