Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Jean Porcherot"'
Autor:
Andrey, Eliseyev, Corinne, Mestais, Guillaume, Charvet, Fabien, Sauter, Neil, Abroug, Nana, Arizumi, Serpil, Cokgungor, Thomas, Costecalde, Michael, Foerster, Louis, Korczowski, Boris, Moriniere, Jean, Porcherot, Jeremy, Pradal, David, Ratel, Nicolas, Tarrin, Napoleon, Torres-Martinez, Alexandre, Verney, Tetiana, Aksenova, Alim-Louis, Benabid
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2014
The goal of the CLINATEC® Brain Computer Interface (BCI) Project is to improve tetraplegic subjects' quality of life by allowing them to interact with their environment through the control of effectors, such as an exoskeleton. The BCI platform is ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::9a2b48d650951d023edabb1c637b1f05
https://pubmed.ncbi.nlm.nih.gov/25570185
https://pubmed.ncbi.nlm.nih.gov/25570185
Autor:
Thomas Costecalde, Nana Arizumi, Tetiana Aksenova, Jean Porcherot, Napoleon Torres-Martinez, Alexandre Verney, Corinne Mestais, M. Foerster, Guillaume Charvet, Alim-Louis Benabid, Neil Abroug, Andrey Eliseyev, Boris Moriniere, Serpil Cokgungor, David Ratel, Louis Korczowski, Jeremy Pradal, Nicolas Tarrin, Fabien Sauter
Publikováno v:
EMBC
The goal of the CLINATEC® Brain Computer Interface (BCI) Project is to improve tetraplegic subjects' quality of life by allowing them to interact with their environment through the control of effectors, such as an exoskeleton. The BCI platform is ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::429f9fdb7aa71de159ebed3c07b51af3
https://doi.org/10.1109/embc.2014.6943817
https://doi.org/10.1109/embc.2014.6943817
Publikováno v:
EMBC
A synchronization method for wireless acquisition systems has been developed and implemented on a wireless ECoG recording implant and on a wireless EEG recording helmet. The presented algorithm and hardware implementation allow the precise synchroniz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e427a15e22179a2e3d0673eab320e10
https://pubmed.ncbi.nlm.nih.gov/24109816
https://pubmed.ncbi.nlm.nih.gov/24109816
Autor:
Corinne Mestais, Raffaele D'Errico, Fabien Sauter-Starace, G. Charvet, M. Foerster, Alim-Louis Benabid, J. Reverdy, Jean Porcherot, S. Robinet, C. Chabrol, David Ratel
Publikováno v:
EMBC
A wireless 64-channel ElectroCorticoGram (ECoG) recording implant named WIMAGINE® has been designed for clinical applications. This active implantable medical device is able to record ECoG on 64 electrodes with selectable gain and sampling frequency
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f379157035e84e42508913e8a70b8020
https://doi.org/10.1109/embc.2013.6610111
https://doi.org/10.1109/embc.2013.6610111
Autor:
M. Foerster, V. Josselin, Corinne Mestais, Guillaume Charvet, Fabien Sauter, Jean Porcherot, Raffaele D'Errico, S. Robinet
Publikováno v:
SPIE Proceedings.
The WIMAGINE platform was developed as a proof of concept and first functional prototype of an implantable device for recording ECoG signals on a large number of electrodes. The designed system provides the means of recording wirelessly up to 64 ECoG
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::536054a964e4e7223dabe0e72dadd9e5
https://doi.org/10.1117/12.2016826
https://doi.org/10.1117/12.2016826
Autor:
S. Robinet, M. Foerster, A. van Langhenhove, Stéphane Bonnet, Guillaume Charvet, Jean Porcherot
Publikováno v:
BioCAS
A fully implantable system for BCI studies has been designed around a state of the art ECoG recording ASIC. The device is able to record on 64 electrodes with selectable gain and sampling frequency, with less than 0.7μVRMS input referred noise in th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b3afe826ab13130c57c11e73a223213
https://doi.org/10.1109/biocas.2012.6418454
https://doi.org/10.1109/biocas.2012.6418454
Autor:
Fabien Sauter, J. Reverdy, M. Foerster, Alim-Louis Benabid, Stéphane Bonnet, S. Filipe, V. Josselin, Corinne Mestais, Raffaele D'Errico, P. Audebert, Guillaume Charvet, A. Michea, Guillaume Chatalic, Jean Porcherot, S. Robinet
Publikováno v:
EMBC
A wireless, low power, 64-channel data acquisition system named WIMAGINE has been designed for ElectroCorticoGram (ECoG) recording. This system is based on a custom integrated circuit (ASIC) for amplification and digitization on 64 channels. It allow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::803dbc34c79545c68633915fad9a7998
https://doi.org/10.1109/embc.2012.6346048
https://doi.org/10.1109/embc.2012.6346048
WIMAGINE: A wireless, low power, 64-channel ECoG recording platform for implantable BCI applications
Autor:
C. Condemine, G. Regis, P. Audebert, Alim-Louis Benabid, R. Guillemaud, B. Zongo, J. F. Beche, G. Charvet, Fabien Sauter, Y. Tetu, S. Robinet, Jean Porcherot, M. Foerster, Corinne Mestais, S. Filipe
Publikováno v:
2011 5th International IEEE/EMBS Conference on Neural Engineering.
WIMAGINE is a wireless low power 64-channel data acquisition system designed for Electrocorticogram (ECoG) recording. The system is based on a custom integrated circuit (ASIC) for amplification and digitization and commercial components for RF transm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d627b18e5e252985d270c3b711c9e25
https://doi.org/10.1109/ner.2011.5910560
https://doi.org/10.1109/ner.2011.5910560
Autor:
S. Gharbi, Fabien Sauter, Corinne Mestais, Jean Porcherot, Guillaume Charvet, Napoleon Torres, Thomas Costecalde, Andryi Yelisyeyev, Alim-Louis Benabid, Cécile Moro, Tetiana Aksenova
Publikováno v:
Neurosurgery. 67:557-558
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cac47428e7812e134d23ea87ee5c569d
https://doi.org/10.1227/01.neu.0000387038.00340.3e
https://doi.org/10.1227/01.neu.0000387038.00340.3e