Sébastien Rimbert

According to our database, Sébastien Rimbert authored at least 17 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Prediction of Motor-Imagery-BCI performance using Median Nerve Stimulation.

Sébastien Rimbert, Valérie Marissens Cueva, Laurent Bougrain, Fabien Lotte

Proceedings of the 12th International Winter Conference on Brain-Computer Interface, 2024

2023

Long-term kinesthetic motor imagery practice with a BCI: Impacts on user experience, motor cortex oscillations and BCI performances.

Sébastien Rimbert, Stéphanie Fleck

Comput. Hum. Behav., September, 2023

Impact of the baseline temporal selection on the ERD/ERS analysis for Motor Imagery-based BCI.

Sébastien Rimbert, David Trocellier, Fabien Lotte

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Is Event-Related Desynchronization variability correlated with BCI performance?

Sébastien Rimbert, David Trocellier, Fabien Lotte

Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

ERD modulations during motor imageries relate to users' traits and BCI performances.

Sébastien Rimbert, Fabien Lotte

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Optimizing Motor Intention Detection With Deep Learning: Towards Management of Intraoperative Awareness.

Oleksii Avilov, Sébastien Rimbert, Anton Popov, Laurent Bougrain

IEEE Trans. Biomed. Eng., 2021

Guidelines to use Transfer Learning for Motor Imagery Detection: an experimental study.

Laurent Bougrain, Sébastien Rimbert, Pedro L. C. Rodrigues, Geoffrey Canron, Fabien Lotte

Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

2020

Apport de la stimulation du nerf médian dans la conception d'une BCI basée sur l'activité cérébrale motrice : vers l'amélioration de la détection des réveils peropératoires au cours de l'anesthésie générale. (Contribution of median nerve stimulation in the design of a BCI based on cerebral motor activity : towards improvement in the detection of intraoperative awareness during general anaesthesia).

Sébastien Rimbert

PhD thesis, 2020

Learning How to Generate Kinesthetic Motor Imagery Using a BCI-based Learning Environment: a Comparative Study Based on Guided or Trial-and-Error Approaches.

Sébastien Rimbert, Laurent Bougrain, Stéphanie Fleck

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Deep Learning Techniques to Improve Intraoperative Awareness Detection from Electroencephalographic Signals.

Oleksii Avilov, Sébastien Rimbert, Anton Popov, Laurent Bougrain

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Innovative Brain-Computer Interface based on motor cortex activity to detect accidental awareness during general anesthesia.

Sébastien Rimbert, Philippe Guerci, Nathalie Gayraud, Claude Meistelman, Laurent Bougrain

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

On Source Space Resolution in EEG Brain Imaging for Motor Imagery.

Radu Ranta, Steven Le Cam, Gundars Bergmanis-Korats, Sébastien Rimbert, Laurent Bougrain

Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

Can suggestive hypnosis be used to improve the BCI performance ?

Sébastien Rimbert, Oleksii Avilov, Perrine Adam, Laurent Bougrain

Proceedings of the 8th Graz Brain-Computer Interface Conference 2019, 2019

2017

Modulation of beta power in EEG during discrete and continuous motor imageries.

Sébastien Rimbert, Cecilia Lindig-León, Mariia Fedotenkova, Laurent Bougrain

Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

Profiling BCI users based on contralateral activity to improve kinesthetic motor imagery detection.

Sébastien Rimbert, Cecilia Lindig-León, Laurent Bougrain

Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

Discretes motor Imageries can be used to Allow Faster Detection.

Sébastien Rimbert, Oleksii Avilov, Laurent Bougrain

Proceedings of the From Vision to Reality, 2017

2015

Alpha rebound improves on-line detection of the end of motor imageries.

Cecilia Lindig-León, Laurent Bougrain, Sébastien Rimbert

Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015