MEAN<sub>SP</sub>: How Many Channels are Needed to Predict the Performance of a SMR-Based BCI?-Reference-Cited by-同舟云学术

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MEAN_SP: How Many Channels are Needed to Predict the Performance of a SMR-Based BCI?

Published:2023 Issue: Volume:31 Page:4931-4941
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Jorajuría Tania¹^ORCID,Nikulin Vadim V.²,Kapralov Nikolai²^ORCID,Gómez Marisol¹^ORCID,Vidaurre Carmen³^ORCID

Affiliation:

1. Department of Statistics, Computer Science and Mathematics, Universidad Pública de Navarra, Pamplona, Spain

2. Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany

3. TECNALIA, Basque Research and Technology Alliance (BRTA), San Sebastian, Spain

Funder

Eusko Jaurlaritza

Spanish State Research Agency through Basque Center On Cognition, Brain and Language (BCBL) Severo Ochoa Excellence Accreditation

Spanish Ministry of Research and Innovation

Diputacion Foral de Gipuzkoa (DFG) Brain2Move Project

DFG Neurocog Project

Ikerbasque

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

http://xplorestaging.ieee.org/ielx7/7333/10031624/10342834.pdf?arnumber=10342834

Reference53 articles.

1. Motor imagery

2. The neurophysiological basis of motor imagery

3. Motor imagery activates primary sensorimotor area in humans

4. Mu rhythm (de)synchronization and EEG single-trial classification of different motor imagery tasks

5. Classification of Motor Imagery BCI Using Multivariate Empirical Mode Decomposition

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