Title :
An inductively powered scalable 32-channel wireless neural recording system-on-a-chip for neuroscience applications
Author :
Seung Bae Lee ; Hyung-Min Lee ; Kiani, Mehdi ; Uei-Ming Jow ; Ghovanloo, Maysam
Author_Institution :
Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
An inductively powered 32-channel wireless integrated neural recording system, capable of endless recording from small freely behaving animals, is reported. A power scheduling mechanism maintains the power consumption of the LNAs constant regardless of the number of channels. Closed-loop power transmission maintains the received power constant despite animal movements.
Keywords :
bioMEMS; bioelectric phenomena; biomedical electronics; biomedical telemetry; inductive power transmission; low noise amplifiers; neurophysiology; power supplies to apparatus; system-on-chip; wireless sensor networks; LNA; closed loop power transmission; endless recording; inductively powered neural recording SoC; integrated neural recording system; low noise amplifier; neural recording system on a chip; neuroscience applications; power consumption; power scheduling mechanism; scalable neural recording SoC; wireless neural recording SoC; Animals; Application specific integrated circuits; Broadband antennas; Coils; Inductors; Neuroscience; Rectifiers; Sampling methods; System-on-a-chip; Voltage-controlled oscillators;
Conference_Titel :
Solid-State Circuits Conference Digest of Technical Papers (ISSCC), 2010 IEEE International
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4244-6033-5
DOI :
10.1109/ISSCC.2010.5434028
