Charvet, Guillaume

Walking naturally after spinal cord injury using a brain–spine interface

Lorach, H., Galvez, A., Spagnolo, V., Martel, F., Karakas, S., Intering, N., Vat, M., Faivre, O., Harte, C., Komi, S., et al. (2023) · Nature

Spinal Cord Injury ResearchNeuroscience and Neural Engineering

Cited by 631

An exoskeleton controlled by an epidural wireless brain–machine interface in a tetraplegic patient: a proof-of-concept demonstration

Benabid, A. L., Costecalde, T., Eliseyev, A., Charvet, G., Verney, A., Karakas, S., Foerster, M., Lambert, A., Morinière, B., Abroug, N., et al. (2019) · The Lancet Neurology

EEG and Brain-Computer InterfacesSpinal Cord Injury Research

Cited by 404

WIMAGINE: Wireless 64-Channel ECoG Recording Implant for Long Term Clinical Applications

Mestais, C. S., Charvet, G., Sauter-Starace, F., Foerster, M., Ratel, D., & Benabid, A. L. (2015) · IEEE Transactions on Neural Systems and Rehabilitation Engineering

Neuroscience and Neural EngineeringAnalog and Mixed-Signal Circuit Design

Cited by 202

An adaptive closed-loop ECoG decoder for long-term and stable bimanual control of an exoskeleton by a tetraplegic

Moly, A., Costecalde, T., Martel, F., Martin, M., Larzabal, C., Karakas, S., Verney, A., Charvet, G., Chabardes, S., Benabid, A. L., et al. (2022) · Journal of Neural Engineering

EEG and Brain-Computer InterfacesMuscle activation and electromyography studies

Cited by 65

Recursive Exponentially Weighted N-way Partial Least Squares Regression with Recursive-Validation of Hyper-Parameters in Brain-Computer Interface Applications

Eliseyev, A., Auboiroux, V., Costecalde, T., Langar, L., Charvet, G., Mestais, C., Aksenova, T., & Benabid, A.-L. (2017) · Scientific Reports

Tensor decomposition and applicationsEEG and Brain-Computer Interfaces

Cited by 42

Long-term stability of the chronic epidural wireless recorder WIMAGINE in tetraplegic patients

Larzabal, C., Bonnet, S., Costecalde, T., Auboiroux, V., Charvet, G., Chabardes, S., Aksenova, T., & Sauter-Starace, F. (2021) · Journal of Neural Engineering

Neuroscience and Neural EngineeringEEG and Brain-Computer Interfaces

Cited by 37

A Low-Power 0.7 $\mu {\rm V_{rms}}$ 32-Channel Mixed-Signal Circuit for ECoG Recordings

Robinet, S., Audebert, P., Regis, G., Zongo, B., Beche, J.-F., Condemine, C., Filipe, S., & Charvet, G. (2011) · IEEE Journal on Emerging and Selected Topics in Circuits and Systems

Analog and Mixed-Signal Circuit DesignNeuroscience and Neural Engineering

Cited by 30