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 :
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