DocumentCode
2256507
Title
128-channel fully differential digital neural recording and stimulation interface
Author
Shahrokhi, Farzaneh ; Abdelhalim, Karim ; Genov, Roman
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
fYear
2009
fDate
24-27 May 2009
Firstpage
1249
Lastpage
1252
Abstract
We present a fully differential 128-channel integrated neural interface. It consists of an array of 8times16 low-power low-noise signal recording and generation channels for electrical neural activity monitoring and stimulation, respectively. The recording channel has two stages of signal amplification and conditioning with a programmable gain of 54 dB to 73 dB, and a fully differential 8-bit column-parallel successive approximation (SAR) analog-to-digital converter (ADC). The design is implemented in a 0.35 mum CMOS technology with the channel pitch of 200 mum. The total measured power consumption of each recording channel including the SAR ADC is 15.5 muW. The measured input referred noise is 6.08 muVrms over a 5 kHz bandwidth.
Keywords
CMOS integrated circuits; analogue-digital conversion; low-power electronics; neural nets; operational amplifiers; 128-channel fully differential digital neural recording; CMOS technology; analog-to-digital converter; bandwidth 5 kHz; column-parallel successive approximation ADC; electrical neural activity monitoring; gain 54 dB to 73 dB; input referred noise measurement; low-power low-noise signal recording; neural stimulation interface; power 15.5 muW; power consumption measurement; signal amplification; size 0.35 mum; Analog-digital conversion; Bandwidth; CMOS technology; Computerized monitoring; Digital circuits; Digital recording; Dynamic range; Energy consumption; Power measurement; Signal generators;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on
Conference_Location
Taipei
Print_ISBN
978-1-4244-3827-3
Electronic_ISBN
978-1-4244-3828-0
Type
conf
DOI
10.1109/ISCAS.2009.5117989
Filename
5117989
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