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Sébastien Rimbert
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2020 – today
- 2024
- [c14]Sébastien Rimbert, Valérie Marissens Cueva, Laurent Bougrain, Fabien Lotte:
Prediction of Motor-Imagery-BCI performance using Median Nerve Stimulation. BCI 2024: 1-6 - 2023
- [j2]Sébastien Rimbert
, Stéphanie Fleck:
Long-term kinesthetic motor imagery practice with a BCI: Impacts on user experience, motor cortex oscillations and BCI performances. Comput. Hum. Behav. 146: 107789 (2023) - [c13]Sébastien Rimbert, David Trocellier, Fabien Lotte:
Impact of the baseline temporal selection on the ERD/ERS analysis for Motor Imagery-based BCI. EMBC 2023: 1-4 - 2022
- [c12]Sébastien Rimbert, Fabien Lotte:
ERD modulations during motor imageries relate to users' traits and BCI performances. EMBC 2022: 203-207 - [c11]Sébastien Rimbert, David Trocellier, Fabien Lotte:
Is Event-Related Desynchronization variability correlated with BCI performance? MetroXRAINE 2022: 163-168 - 2021
- [j1]Oleksii Avilov
Optimizing Motor Intention Detection With Deep Learning: Towards Management of Intraoperative Awareness. IEEE Trans. Biomed. Eng. 68(10): 3087-3097 (2021) - [c10]Laurent Bougrain, Sébastien Rimbert, Pedro L. C. Rodrigues, Geoffrey Canron, Fabien Lotte:
Guidelines to use Transfer Learning for Motor Imagery Detection: an experimental study. NER 2021: 5-8 - 2020
- [b1]Sébastien Rimbert:
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). University of Lorraine, Nancy, France, 2020 - [c9]Oleksii Avilov, Sébastien Rimbert, Anton Popov, Laurent Bougrain:
Deep Learning Techniques to Improve Intraoperative Awareness Detection from Electroencephalographic Signals. EMBC 2020: 142-145 - [c8]Sébastien Rimbert, Laurent Bougrain, Stéphanie Fleck:
Learning How to Generate Kinesthetic Motor Imagery Using a BCI-based Learning Environment: a Comparative Study Based on Guided or Trial-and-Error Approaches. SMC 2020: 2483-2498
2010 – 2019
- 2019
- [c7]Sébastien Rimbert, Oleksii Avilov, Perrine Adam, Laurent Bougrain:
Can suggestive hypnosis be used to improve the BCI performance ? GBCIC 2019 - [c6]Radu Ranta, Steven Le Cam, Gundars Bergmanis-Korats, Sébastien Rimbert, Laurent Bougrain:
On Source Space Resolution in EEG Brain Imaging for Motor Imagery. NER 2019: 1025-1029 - [c5]Sébastien Rimbert, Philippe Guerci, Nathalie Gayraud, Claude Meistelman, Laurent Bougrain:
Innovative Brain-Computer Interface based on motor cortex activity to detect accidental awareness during general anesthesia. SMC 2019: 3931-3936 - 2017
- [c4]Sébastien Rimbert, Oleksii Avilov, Laurent Bougrain:
Discretes motor Imageries can be used to Allow Faster Detection. GBCIC 2017 - [c3]Sébastien Rimbert, Cecilia Lindig-León, Mariia Fedotenkova, Laurent Bougrain:
Modulation of beta power in EEG during discrete and continuous motor imageries. NER 2017: 333-336 - [c2]Sébastien Rimbert, Cecilia Lindig-León, Laurent Bougrain:
Profiling BCI users based on contralateral activity to improve kinesthetic motor imagery detection. NER 2017: 436-439 - 2015
- [c1]Cecilia Lindig-León, Laurent Bougrain, Sébastien Rimbert:
Alpha rebound improves on-line detection of the end of motor imageries. NER 2015: 655-658
Coauthor Index
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