Neurorhythms will participate on October 30, 2022, on the Human and Social Sciences campus of Nancy in the night of researchers with more than 70 researchers, animations, light shows, theater stage, visits, concerts…
The BCI4IA project proposes to detect intraoperative awareness reliably by analyzing, in real-time, brain motor activity under general anesthesia with a Brain-Computer Interface (BCI) based on Median Nerve Stimulation and innovative machine learning methods.
On July 28 at 13:30h – 17:00 in NYC, I will participate to introduce the worldwide used open source software OpenViBE for designing and process on-line neuroscience experiments at the OpenViBE workshop during the join meeting of the 4rd Neuroergonomics Conference 2022 & the Neuromodulation conference 2022! Who’s attenting?
On May 23-34, 2022, six laboratories on the Illkirch campus (univ. of Strasbourg) organize joint scientific days
I have been invited to participate to a plenary session on human/machine symbiosis and artificial intelligence. I will present my work on deep learning and transfer learning for the detection of motor brain electrical activity.
On September 11 at 14:00h – 18:00 CET, I will participate to introduce the worldwide used open source software OpenViBE for designing and process on-line neuroscience experiments at the OpenViBE workshop during the 3rd Neuroergonomics Conference 2021! Who’s attenting?
On November 2, 2020, a very interesting workshop is organized bringing together the CNRS, the Academy of Technologies and the National Academy of Medicine on brain-machine interfaces.
I will present two projects on the detection of peroperative awereness and the design and evaluation of a haptic and tangible brain-compututer interface for stroke patients (ANR Grasp-IT).
Program and free registration: here
Congratulations to Sébastien Rimbert who received the award for best student paper from IEEE and the Brain initiative at Brain-Machine Interfaces workshop of the 2020 System Man and Cybernetic (SMC’20) conference!
You can read the article « Learning How to Generate Kinesthetic Motor Imagery Using a BCI-based Learning Environment: a Comparative Study Based on Guided or Trial-and-Error Approaches » by
Sébastien Rimbert, Laurent Bougrain and Stéphanie Fleck
On July 2, 2020, a workshop on BMI and disabilities is organized by the French task force on Robotics and health.
I will present machine learning techniques to caracterize motor brain electrical activity for control and rehabilitation
I am the coordinator of the funded ANR project GRASP-IT.
This project aims to recover upper limb control improving the kinesthetic motor imagery (KMI) generation of post-stroke patients using a tangible and haptic interface within a gamified Brain-Computer Interface (BCI) training environment. (i) This innovative KMI-based BCI will integrate complementary modalities of interactions such as tangible and haptic interactions in a 3D printable flexible orthosis. We propose to design and test usability (including efficacy towards the stimulation of the motor cortex) and acceptability of this multimodal BCI. (ii) The GRASP-IT project proposes to design and integrate a gamified non-immersive virtual environment to interact with. This multimodal solution should provide a more meaningful, engaging and compelling stroke rehabilitation training program based on KMI production. (iii) In the end, the project will integrate and evaluate neurofeedbacks, within the gamified multimodal BCI in an ambitious clinical evaluation with 75 hemiplegic patients in 3 different rehabilitation centers in France. This 4-years project will take advantages of the leading interdisciplinary consortium combining expertise from 4 research teams (LORIA/Neurosys, UL/Perseus, Inria/Camin, Inria/Hybrid) and 3 centers or hospital department for physical medicine and rehabilitation (IRR/CMPR Lay St Christophe, CHU Rennes, CHU Toulouse). The GRASP-IT project represents a challenge for the industrial 3D printing field. The materials of the 3D printable orthosis, allowing the haptic-tangible interfaces integration, will come from a joint R & D work performed by the companies Alchimies and Open Edge.