Detrend
This function detrends the data by fitting and subtracting a function from each channel. Either a linear (fitted and subtracted from each trial), exponential or double exponential function (fitted to average and subtracted from each trial) can be fitted.
Note that the Curve Fitting Toolbox is required to run either the exponential or the double exponential fit.
EEGLAB user interface
1. Select the type of function that will be fitted to the data: either linear, exponential or double (i.e. double exponential).
2. Enter the time range over which the detrend will be fitted and applied (in ms).
Scripts
Base function
EEG = tesa_detrend( EEG, detrend, timeWin );
Default use.
Pop function
EEG = pop_tesa_detrend( EEG );
Pop up window.
EEG = pop_tesa_detrend( EEG, detrend, timeWin );
Custom inputs.
Required inputs
Input | Description | Example | Default |
EEG | EEGLAB EEG structure | EEG | - |
detrend | String with type of detrend to perform; 'linear' or 'exponetial' or 'double' | 'linear' | - |
timeWin | Vector setting time window for detrending in ms. [start, end] | [11,500] | - |
Outputs
Output | Description |
EEG | EEGLAB EEG structure |
Examples
EEG = pop_tesa_detrend( EEG, 'linear', [11,500]);
Linear detrend.
EEG = pop_tesa_detrend( EEG, 'exponential', [11,500]);
Exponential detrend.
EEG = pop_tesa_detrend( EEG, 'double', [11,500]);
Double exponential detrend.
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