Title :
A low-power, small-area 1 MSample/sec ADC for neural-signal recording systems in 0.35-µm CMOS
Author :
Zarifi, Mohammad H. ; Frounchi, Javad
Author_Institution :
Microelectron. & Microsensor Res. Lab., Univ. of Tabriz, Tabriz, Iran
fDate :
April 29 2009-May 2 2009
Abstract :
A fully differential, low-power, area-efficient analog to digital converter has been designed and simulated for implantable neural signal recording systems. Proposed ADC consisted of an analog stage, similar to a pipeline converter stages but reused it to extract the final effective bits. This paper presents a 9-bit 1-MSample/s analog to digital converter with stage reused technique that has been designed and simulated with standard 2P4M 0.35 mum CMOS process. High speed comparators, differential operational amplifier and digital correction are circuit techniques, have been used in the ADC. Simulation results comprehend a peak SNDR and ENOB of 54.3 dB and 8.7 bit; respectively with a full-scale 2 V sinusoidal input at 39.0625 kHz and a peak differential nonlinearity (DNL) of 0.45 relative to the least significant bit (LSB).The total power dissipation for a complete conversion cycle of 9 bit, is 430 muW from a 3 V supply.
Keywords :
CMOS integrated circuits; analogue-digital conversion; biomedical electrodes; biomedical electronics; biomedical measurement; comparators (circuits); differential amplifiers; low-power electronics; medical signal processing; neurophysiology; operational amplifiers; CMOS process; ENOB; SNDR; analog to digital converter; differential operational amplifier; digital correction; frequency 39.0625 kHz; high speed comparator; implantable neural signal recording system; low-power ADC; multisite implantable electrode; neural signal acquisition system; peak differential nonlinearity; power 430 muW; power dissipation; size 0.35 mum; storage capacity 8.7 bit; voltage 2 V; voltage 3 V; Analog-digital conversion; CMOS technology; Circuit simulation; Clocks; Digital recording; Java; Multiplexing; Pipelines; Sampling methods; Signal processing;
Conference_Titel :
Neural Engineering, 2009. NER '09. 4th International IEEE/EMBS Conference on
Conference_Location :
Antalya
Print_ISBN :
978-1-4244-2072-8
Electronic_ISBN :
978-1-4244-2073-5
DOI :
10.1109/NER.2009.5109315