Functional Connectivity Ensemble Method to Enhance BCI Performance (FUCONE)-Reference-Cited by-同舟云学术

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Functional Connectivity Ensemble Method to Enhance BCI Performance (FUCONE)

Published:2022-09 Issue:9 Volume:69 Page:2826-2838
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Corsi Marie-Constance¹^ORCID,Chevallier Sylvain²^ORCID,Fallani Fabrizio De Vico³^ORCID,Yger Florian⁴^ORCID

Affiliation:

1. Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtriere, Paris, France

2. LISV Department, University of Paris-Saclay, France

3. Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtriere, France

4. LAMSADE Department, University of Paris Dauphine, France

Funder

H2020 European Research Council

Agence Nationale de la Recherche

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/9863423/09722980.pdf?arnumber=9722980

Reference84 articles.

1. Subspace Oddity - Optimization on Product of Stiefel Manifolds for EEG Data

2. Value of amplitude, phase, and coherence features for a sensorimotor rhythm-based brain–computer interface

3. Phase Synchrony Measurement in Motor Cortex for Classifying Single-trial EEG during Motor Imagery

4. Brain-computer interface boosts motor imagery practice during stroke recovery

5. Neural correlates of action: Comparing meta-analyses of imagery, observation, and execution

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