Title :
Low-Power High-Resolution 32-channel Neural Recording System
Author :
Xiao Yun ; Donghwi Kim ; Stanacevic, M. ; Mainen, Z.
Author_Institution :
Stony Brook Univ., Stony Brook
Abstract :
A design of low-power 32-channel neural recording system with on-chip high-resolution A/D converters is presented. A neural front-end including low-noise fully differential pre-amplifier, gain stage, and buffer consumes only 56 muW. Two 13-bits extended counting A/D converters running at 512 KHz sampling rate are integrated with 32 neural front-ends on a chip. The experimental prototype was designed in 0.6 mum CMOS process. With a 3.3 V power supply, total power consumption of a chip is 22 mW and the whole system occupies an area of 3 mm times 3 mm.
Keywords :
CMOS integrated circuits; analogue-digital conversion; bioMEMS; biomedical electrodes; biomedical electronics; biomedical measurement; differential amplifiers; lab-on-a-chip; low-power electronics; microelectrodes; neurophysiology; preamplifiers; 32-channel neural recording system; differential pre-amplifier; gain stage; low-power recording system; neural front-end; on-chip high-resolution A-D converter; power 22 mW; power 56 muW; size 0.6 mum; Analog-digital conversion; Animals; CMOS technology; Cutoff frequency; Nervous system; Neurons; Preamplifiers; Sensor arrays; Signal design; Very large scale integration; Algorithms; Amplifiers, Electronic; Electric Power Supplies; Electronics, Medical; Electrophysiology; Equipment Design; Hot Temperature; Humans; Microelectrodes; Models, Statistical; Neurons; Telemetry; Transducers;
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
Print_ISBN :
978-1-4244-0787-3
DOI :
10.1109/IEMBS.2007.4352804
