DocumentCode
1823969
Title
WIMAGINE: A wireless, low power, 64-channel ECoG recording platform for implantable BCI applications
Author
Charvet, G. ; Foerster, M. ; Filipe, S. ; Porcherot, J. ; Beche, J.F. ; Guillemaud, R. ; Audebert, P. ; Regis, G. ; Zongo, B. ; Robinet, S. ; Condemine, C. ; Tetu, Y. ; Sauter, Fabien ; Mestais, C. ; Benabid, A.L.
Author_Institution
LETI, CEA, Grenoble, France
fYear
2011
fDate
April 27 2011-May 1 2011
Firstpage
356
Lastpage
359
Abstract
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 transmission. It supports the RF transmission of 32 ECoG recording channels (among 64 channels available) sampled at 1 kHz per channel with a 12-bit resolution. The RF communications use the MICS band (Medical Implant Communication Service) at 402-405 Mhz and can achieve a data rate of 480 kbps with a bit-error rate of less than 1.5 × 10-10. The device is powered wirelessly through an inductive link at 13.56 MHz able to provide 100 mW (30 mA at 3.3 V). This integration is a first step towards an implantable device for BCI (Brain Computer Interface) studies and neural prosthetics. Here, we present the platform architecture, components and the first in vivo validations.
Keywords
bioelectric phenomena; brain; brain-computer interfaces; handicapped aids; neurophysiology; prosthetics; telemedicine; 64-channel ECoG recording platform; MICS band; Medical Implant Communication Service; RF transmission; WIMAGINE; brain computer interface; current 30 mA; frequency 1 kHz to 405 MHz; implantable BCI applications; low power ECoG recording platform; neural prosthetics; power 100 mW; voltage 3.3 V; wireless ECoG recording platform; Application specific integrated circuits; Electrodes; In vivo; Low power electronics; Radio frequency; Temperature sensors; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Engineering (NER), 2011 5th International IEEE/EMBS Conference on
Conference_Location
Cancun
ISSN
1948-3546
Print_ISBN
978-1-4244-4140-2
Type
conf
DOI
10.1109/NER.2011.5910560
Filename
5910560
Link To Document