Title :
A fully-integrated 10.5µW miniaturized (0.125mm2) wireless neural sensor
Author :
Yeager, D. ; Biederman, W. ; Narevsky, N. ; Alon, E. ; Rabaey, J.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of California, Berkeley, CA, USA
Abstract :
A wirelessly powered 0.125mm2 65nm CMOS IC for BMI applications integrates four 1.5μW amplifiers (6.5μVrms input-referred noise for a 10kHz bandwidth) with power conditioning and communication circuitry. The multi-node backscatter FDMA communication scheme frequency locks to a wireless interrogator. The full system, verified wirelessly with MATLAB generated neural data, consumes 10.5μW, and operates at 1mm range in air with 50mW transmit power.
Keywords :
CMOS analogue integrated circuits; biomedical electronics; body sensor networks; frequency division multiple access; low noise amplifiers; prosthetics; BMI; LNA; Matlab; bandwidth 10 kHz; communication circuitry; fully-integrated miniaturized wireless neural sensor network; input-referred noise; multinode backscatter FDMA communication scheme; power 1.5 muW; power 50 mW; power conditioning; size 65 nm; voltage 6.5 muV; wireless interrogator; wirelessly powered CMOS IC; Backscatter; Coils; Loss measurement; Noise; Regulators; Wireless communication; Wireless sensor networks;
Conference_Titel :
VLSI Circuits (VLSIC), 2012 Symposium on
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4673-0848-9
Electronic_ISBN :
978-1-4673-0845-8
DOI :
10.1109/VLSIC.2012.6243795
