EEG Source Imaging by Supervised Learning-Reference-Cited by-同舟云学术

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EEG Source Imaging by Supervised Learning

Published:2023-09-04 Issue: Volume: Page:
ISSN:
Container-title:2023 31st European Signal Processing Conference (EUSIPCO)
language:
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Author:

Sarah Reynaud¹,Adrien Merlini²,Douraied Ben Salem³,François Rousseau¹

Affiliation:

1. IMT Atlantique, LaTIM U1101 INSERM,Brest,France

2. IMT Atlantique, Lab-STICC UMR CNRS 6285,Brest,France

3. CHU, UBO, LaTIM U1101 INSERM,Brest,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10289698/10289713/10290011.pdf?arnumber=10290011

Reference17 articles.

1. Evaluation of EEG localization methods using realistic simulations of interictal spikes

2. MEG and EEG data analysis with MNE-Python

3. Spatial fidelity of MEG/EEG source estimates: A general evaluation approach

4. Towards an objective evaluation of EEG/MEG source estimation methods – The linear approach

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