pnpl.preprocessing.BadChannels

pnpl.preprocessing.BadChannels#

class pnpl.preprocessing.BadChannels(step_name='bads', h_freq=40.0, calibration=None, cross_talk=None)[source]#

Detect and mark bad channels.

Uses MNE’s find_bad_channels_maxwell to detect noisy and flat channels. Bad channels are stored in context for use by MaxwellFilter.

Parameters:

  • h_freq (float) – High frequency cutoff for detection (default: 40 Hz)

  • 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='bads', h_freq=40.0, calibration=None, cross_talk=None)#
Parameters:

  • step_name (str)

  • h_freq (float)

  • calibration (str | None)

  • cross_talk (str | None)

Return type:

None

Methods

__init__([step_name, h_freq, calibration, ...])

apply(raw, context)

Apply this preprocessing step to raw data.

Attributes

calibration

cross_talk

h_freq

step_name