/dusk2dawn

A plug-in for the EEG lab toolbox to implement Artifact Subspace Reconstruction cleaning with whole-night sleep EEG

Primary LanguageMATLAB

dusk2dawn

Dusk2Dawn plugin for the EEGLAB toolbox in MATLAB.

  • Dusk2Dawn allows users to easily clean whole-night sleep EEG data using sleep-specific implementations of Artifact Subspace Reconstruction (ASR).

  • The accessible GUI interface also allows users to easily test a range of ASR parameters and visualise the effects on their data (e.g. the effects on Slow-Wave amplitude), before deciding which set of parameters to use.

  • The plugin uses functions from the official 'clean_rawdata' ASR plugin included in recent versions of EEGLAB.

    Author: Richard Somervail, Istituto Italiano di Tecnologia, 2022
    r.somervail@gmail.com
    www.iannettilab.net

If you use this plugin, please cite as: Somervail R, Cataldi J, Stephan AM, Siclari F, Iannetti GD. 2023. Dusk2Dawn: an EEGLAB plugin for automatic cleaning of whole-night sleep electroencephalogram using Artifact Subspace Reconstruction. Sleep. 1–14.

History:  
15/01/2024 ver 3.4.1 Added published paper to cite when using D2D  
25/10/2023 ver 3.4.0 Added button to GUI to automatically generate a script from current settings. Also misc bugfixes.  
27/09/2023 ver 3.3.1 GUI bugfixes & misc improvements.  
07/09/2023 ver 3.3.0 Crucial bugfix to allow to computing of frequency spectrum for datasets containing no events  
18/08/2023 ver 3.2.0 Crucial bugfix to allow datasets containing no events   
09/05/2023 ver 3.1.0 Crucial bugfix to sliding window ASR  
22/03/2023 ver 3.0.0 Crucial bugfix to sliding window ASR, major efficiency upgrades, all ASR parameters now variable from GUI + additional D2D-specific features.  
09/03/2023 ver 2.1.0 Crucial bugfixes. Also added most ASR parameters + various quality of life improvements.  
06/03/2023 ver 2.0.1 Various quality of life upgrades (e.g. printing time elapsed for each dataset).  
24/02/2023 ver 2.0.0 Added group-level/batch processing of multiple datasets.  
30/01/2023 ver 1.0.1 Patch to fix initial bugs and solidify basic functionality.  
19/01/2023 ver 1.0.0 Created