Title :
BioBolt: A minimally-invasive neural interface for wireless epidural recording by intra-skin communication
Author :
Chang, Sun-Il ; AlAshmouny, Khaled ; McCormick, Mike ; Chen, Yu-Chih ; Yoon, Euisik
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Michigan, Ann Arbor, MI, USA
Abstract :
We report a bolt-shape minimally-invasive neural interface, BioBolt, for epidural recording. Sixteen-channel analog front-end has been implemented in 0.25μm technology with low-power wireless data transmission using intra-skin communication. The fabricated ASIC consumes 365μW, occupies 3.2 mm × 0.9 mm, and obtains a 10kb/s data rate.
Keywords :
application specific integrated circuits; data communication; neural nets; radiocommunication; ASIC; BioBolt; bolt-shape minimally-invasive neural interface; intra-skin communication; low-power wireless data transmission; sixteen-channel analog front-end; wireless epidural recording; Attenuation measurement; Frequency measurement; Gain measurement; Noise measurement; Skin; Voltage measurement; Wireless communication; BioBolt; Low-power; SAR ADC; epidural recording; intra-skin communication; low-noise; preamplifier;
Conference_Titel :
VLSI Circuits (VLSIC), 2011 Symposium on
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-61284-175-5
