DocumentCode :
1502593
Title :
The 128-Channel Fully Differential Digital Integrated Neural Recording and Stimulation Interface
Author :
Shahrokhi, F. ; Abdelhalim, K. ; Serletis, D. ; Carlen, P.L. ; Genov, R.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
Volume :
4
Issue :
3
fYear :
2010
fDate :
6/1/2010 12:00:00 AM
Firstpage :
149
Lastpage :
161
Abstract :
We present a fully differential 128-channel integrated neural interface. It consists of an array of 8 X 16 low-power low-noise signal-recording and generation circuits for electrical neural activity monitoring and stimulation, respectively. The recording channel has two stages of signal amplification and conditioning with and a fully differential 8-b column-parallel successive approximation (SAR) analog-to-digital converter (ADC). The total measured power consumption of each recording channel, including the SAR ADC, is 15.5 ??W. The measured input-referred noise is 6.08 ?? Vrms over a 5-kHz bandwidth, resulting in a noise efficiency factor of 5.6. The stimulation channel performs monophasic or biphasic voltage-mode stimulation, with a maximum stimulation current of 5 mA and a quiescent power dissipation of 51.5 ??W. The design is implemented in 0.35-??m complementary metal-oxide semiconductor technology with the channel pitch of 200 ??m for a total die size of 3.4 mm ?? 2.5 mm and a total power consumption of 9.33 mW. The neural interface was validated in in vitro recording of a low-Mg2+/high-K+ epileptic seizure model in an intact hippocampus of a mouse.
Keywords :
analogue-digital conversion; bioelectric phenomena; biomedical electrodes; biomedical electronics; brain; brain-computer interfaces; cellular biophysics; medical disorders; neurophysiology; noise; patient monitoring; prosthetics; recording; SAR analog-to-digital converter; electrical neural activity monitoring; implantable neural recording microsystem; implantable neural stimulation microsystem; multichannel neural recording; multichannel neural stimulation; neural interface; signal amplification; successive approximation; Analog-digital conversion; Bandwidth; Circuits; Digital recording; Energy consumption; Noise measurement; Power measurement; Semiconductor device noise; Signal generators; Voltage; Brain; SAR analog-to-digital converter (ADC); extracellular recording; hippocampus; implantable; multichannel neural recording; multichannel neural stimulation; neural amplifier;
fLanguage :
English
Journal_Title :
Biomedical Circuits and Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1932-4545
Type :
jour
DOI :
10.1109/TBCAS.2010.2041350
Filename :
5471738
Link To Document :
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