mne.baseline.rescale¶

mne.baseline.
rescale
(data, times, baseline, mode='mean', copy=True, picks=None, verbose=None)[source]¶ Rescale (baseline correct) data.
 Parameters
 data
array
It can be of any shape. The only constraint is that the last dimension should be time.
 times1D
array
Time instants is seconds.
 baseline
None
tuple
of length 2 The time interval to consider as “baseline” when applying baseline correction. If
None
, do not apply baseline correction. If a tuple(a, b)
, the interval is betweena
andb
(in seconds), including the endpoints. Ifa
isNone
, the beginning of the data is used; and ifb
isNone
, it is set to the end of the interval. If(None, None)
, the entire time interval is used.Note
The baseline
(a, b)
includes both endpoints, i.e. all timepointst
such thata <= t <= b
. mode‘mean’  ‘ratio’  ‘logratio’  ‘percent’  ‘zscore’  ‘zlogratio’
Perform baseline correction by
subtracting the mean of baseline values (‘mean’)
dividing by the mean of baseline values (‘ratio’)
dividing by the mean of baseline values and taking the log (‘logratio’)
subtracting the mean of baseline values followed by dividing by the mean of baseline values (‘percent’)
subtracting the mean of baseline values and dividing by the standard deviation of baseline values (‘zscore’)
dividing by the mean of baseline values, taking the log, and dividing by the standard deviation of log baseline values (‘zlogratio’)
 copybool
Whether to return a new instance or modify in place.
 picks
list
ofint
None
Data to process along the axis=2 (None, default, processes all).
 verbosebool,
str
,int
, orNone
If not None, override default verbose level (see
mne.verbose()
and Logging documentation for more). If used, it should be passed as a keywordargument only.
 data
 Returns
 data_scaled:
array
Array of same shape as data after rescaling.
 data_scaled: