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Sylvain Chevallier
Professeur au LISN-CNRS, Université Paris-Saclay
100%
Libre accès
2
Documents
Affiliations actuelles
- 1066529
- 1061259
Identifiants chercheurs
- sylvain-chevallier
- Arxiv : chevallier_s_1
- IdRef : 142286826
- 0000-0003-3027-8241
- Google Scholar : https://scholar.google.fr/citations?user=j5Tu_SQAAAAJ&hl=fr
- ResearcherId : AAB-7621-2020
- ResearcherId : http://www.researcherid.com/rid/AAB-7621-2020
Présentation
After a PhD on bio-inspired robotic vision at LIMSI CNRS, I was a post-doc fellow in the neurocybernetic team of ETIS. I embraced a more machine learning centric approach to analyse EEG for Brain-Computer Interface (BCI) during two post-doc, one at INRIA and one at Telecom ParisTech. I worked as assistant professor at LISV, Université de Versailles-St Quentin on BCI for rehabilitation robotics, using Riemannian geometry and time series analysis. I am now full professor in A&O team of LISN-CNRS, Université Paris-Saclay.
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Randomized Controlled Study Evaluating Efficiency of Low Intensity Transcranial Direct Current Stimulation (tDCS) for Dyspnea Relief in Mechanically Ventilated COVID-19 Patients in ICU: The tDCS-DYSP-COVID ProtocolFrontiers in Medicine, 2020, 7, pp.372. ⟨10.3389/fmed.2020.00372⟩
Article dans une revue
hal-03017762v1
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SMR/Theta Neurofeedback Training Improves Cognitive Performance and EEG Activity in Elderly With Mild Cognitive Impairment: A Pilot StudyFrontiers in Aging Neuroscience, 2020, 12, ⟨10.3389/fnagi.2020.00147⟩
Article dans une revue
hal-03017961v1
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