/zapline-plus

Improvements of the ZapLine function to remove line noise from EEG/MEG data. Adds automatic detection of the number of components to remove, and chunks the data into segments to account for nonstationarities.

Primary LanguageMATLABGNU General Public License v3.0GPL-3.0

Zapline-plus

Zapline-plus is a wrapper for Zapline that automatically removes spectral peaks like line noise from your data while ensuring minimal negative impact, preserving both the non-noise spectrum and the data rank. It searches for noise frequencies, divides the data into spatially stable chunks, and adapts the cleaning strength automatically. A detailed plot is created.

Quick start

If you just want to download the package and use Zapline-plus with any data matrix, you can feed that data and the sampling rate directly in like this:

cleanedData = clean_data_with_zapline_plus(data,srate);

Or if you live in the EEGLAB universe, you can install Zapline-plus via the EEGLAB plugins manager and then run the cleaning either via the Tools GUI or in the command line like this:

EEG = clean_data_with_zapline_plus_eeglab_wrapper(EEG,struct('noisefreqs','line')) % specifying the config is optional

Detailed user guide

Please check out the wiki articles for a detailed guide on how to use Zapline-plus and how to interpret the plot.

Please cite

Klug, M., & Kloosterman, N. A. (2022). Zapline-plus: A Zapline extension for automatic and adaptiveremoval of frequency-specific noise artifacts in M/EEG. Human Brain Mapping,1–16. https://doi.org/10.1002/hbm.25832

de Cheveigne, A. (2020). ZapLine: a simple and effective method to remove power line artifacts. NeuroImage, 1, 1-13. https://doi.org/10.1016/j.neuroimage.2019.116356

Dependencies of Noisetools are provided with permission by Alain de Cheveigné. Please visit the original repository for more info and additional noise removal tools: http://audition.ens.fr/adc/NoiseTools/

Requirements

  • Signal Processing Toolbox
  • Statistics Toolbox