[Mne_analysis] Automatic and tunable artifact removal algorithm {Disarmed}
Nikesh Bajaj
bajaj.nikkey at gmail.com
Tue Aug 20 07:01:55 EDT 2019
External Email - Use Caution
Dear MNE users,
I am happy to share with you all that an article we worked on to
develop an *automatic
and tunable artifact removal algorithm for EEG signal,* is finally
available online in the journal - *Biomedical Signal Processing and
Control. * The objective of the tunable approach is to improve the
performance of a given predictive task.
The article can be downloaded for free within 50 days with a given link. I
will clean the source code (developed in python) and update on Github
library (PhyAAt <https://github.com/PhyAAt>) soon.
I hope you find it interesting. Feel free to share the link with your
network.
Let me know if you have any feedback or questions.
Free access to article up to 50 days
https://authors.elsevier.com/a/1Zb5o6DBR2xOIg
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Many Thanks!!
---
Best regards
*Nikesh Bajaj*
*Queen Mary University of London, UK &*
*University of Genova, Italy*
*n.bajaj at qmul.ac.uk <n.bajaj at qmul.ac.uk>*
*nikeshbajaj.in <http://nikeshbajaj.in>*
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