Online EEG artifact removal by adaptive spatial filtering
The performance of electroencephalography (EEG) data depends on the effective attenuation of artifacts that are mixed in the recordings. To address this problem, we have developed a novel online EEG artifact removal method for online applications, which combines Independent Component Analysis (ICA) and regression (REG) analysis. ICA-REG method relies on the availability of a calibration dataset of limited duration for the initialization of a spatial filter using ICA. Online artifact removal is implemented by dynamically adjusting the spatial filter in the actual experiment, based on linear regression.
This software can be used to do a pseudo-online artifact removal (necessary for the validations in your project), or a real-time filtering, or to filter the whole signal offline.
For support: roberto.guarnieri@kuleuven.be
To cite this software: http://iopscience.iop.org/article/10.108...
Roberto Guarnieri et al 2018 J. Neural Eng. 15 056009
This software can be used to do a pseudo-online artifact removal (necessary for the validations in your project), or a real-time filtering, or to filter the whole signal offline.
For support: roberto.guarnieri@kuleuven.be
To cite this software: http://iopscience.iop.org/article/10.108...
Roberto Guarnieri et al 2018 J. Neural Eng. 15 056009
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Recent Activity - Documents
Poster: Artifact removal in real-time for hdEEG-BCI systems posted by Roberto Guarnieri on Mar 21, 2019
Artifact removal in real-time for hdEEG-BCI systems posted by Roberto Guarnieri on Mar 21, 2019
Recent Activity - News
Online_artifact_removal_v1.1. New release posted by Roberto Guarnieri on Oct 19, 2018
Paper about this software posted by Roberto Guarnieri on Oct 15, 2018
Poster about this toolbox in OHBM 2018 posted by Roberto Guarnieri on Oct 15, 2018
Online_artifact_removal_v1.0 posted by Roberto Guarnieri on Oct 12, 2018
Recent Activity - Files
ica_reg: Online_artifact_removal_v1.1 release
toolbox_v.1.1 posted by Roberto Guarnieri on Oct 16, 2018