EEG Source Analysis with a Convolutional Neural Network and Finite Element Analysis-Reference-Cited by-同舟云学术

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EEG Source Analysis with a Convolutional Neural Network and Finite Element Analysis

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Delatolas Thanos¹,Antonakakis Marios¹,Wolters Carsten H.²,Zervakis Michalis¹

Affiliation:

1. Technical University of Crete,The School of Electrical and Computer Engineering,Chania,Crete,Hellas,73100

2. University of Munster,Institute for Biomagnetism and Biosignalanalysis, Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience,Muenster,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10339936/10339939/10340742.pdf?arnumber=10340742

Reference21 articles.

1. The effect of stimulation type, head modeling, and combined EEG and MEG on the source reconstruction of the somatosensory P20/N20 component

2. Review on solving the inverse problem in EEG source analysis

3. The effect of experimental and modeling parameters on combined EEG/MEG source analysis and transcranial electric stimulation optimization of somatosensory and epilepsy activity;Antonakakis,2021

4. EEG and MEG: forward modeling

5. Geometry-Adapted Hexahedral Meshes Improve Accuracy of Finite-Element-Method-Based EEG Source Analysis

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