Remove cHPI and line noise from data.
Note
This function will only work properly if cHPI was on during the recording.
Raw
Raw data with cHPI information. Must be preloaded. Operates in-place.
If True, also filter line noise.
float
Time step to use for estimation, default is 0.01 (10 ms).
float
Time window to use to estimate the amplitudes, default is 0.2 (200 ms).
int
The external order for SSS-like interfence suppression. The SSS bases are used as projection vectors during fitting.
Changed in version 0.20: Added ext_order=1
by default, which should improve
detection of true HPI signals.
If True, allow filtering line noise only. The default is False, which only allows the function to run when cHPI information is present.
New in version 0.20.
str
| int
| None
Control verbosity of the logging output. If None
, use the default
verbosity level. See the logging documentation and
mne.verbose()
for details. Should only be passed as a keyword
argument.
Raw
The raw data.
Notes
cHPI signals are in general not stationary, because head movements act like amplitude modulators on cHPI signals. Thus it is recommended to to use this procedure, which uses an iterative fitting method, to remove cHPI signals, as opposed to notch filtering.
New in version 0.12.
mne.chpi.filter_chpi
#Signal-space separation (SSS) and Maxwell filtering