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A 100-Channel 1-mW Implantable Neural Recording IC.

Authors :
Zou, Xiaodan
Liu, Lei
Cheong, Jia Hao
Yao, Lei
Li, Peng
Cheng, Ming-Yuan
Goh, Wang Ling
Rajkumar, Ramamoorthy
Dawe, Gavin Stewart
Cheng, Kuang-Wei
Je, Minkyu
Source :
IEEE Transactions on Circuits & Systems. Part I: Regular Papers. Oct2013, Vol. 60 Issue 10, p2584-2596. 13p.
Publication Year :
2013

Abstract

<?Pub Dtl?>This paper presents a fully implantable 100-channel neural interface IC for neural activity monitoring. It contains 100-channel analog recording front-ends, 10 multiplexing successive approximation register ADCs, digital control modules and power management circuits. A dual sample-and-hold architecture is proposed, which extends the sampling time of the ADC and reduces the average power per channel by more than 50% compared to the conventional multiplexing neural recording system. A neural amplifier (NA) with current-reuse technique and weak inversion operation is demonstrated, consuming 800 nA under 1-V supply while achieving an input-referred noise of 4.0 \muVrms in a 8-kHz bandwidth and a NEF of 1.9 for the whole analog recording chain. The measured frequency response of the analog front-end has a high-pass cutoff frequency from sub-1 Hz to 248 Hz and a low-pass cutoff frequency from 432 Hz to 5.1 kHz, which can be configured to record neural spikes and local field potentials simultaneously or separately. The whole system was fabricated in a 0.18-\mu\ m standard CMOS process and operates under 1 V for analog blocks and ADC, and 1.8 V for digital modules. The number of active recording channels is programmable and the digital output data rate changes accordingly, leading to high system power efficiency. The overall 100-channel interface IC consumes 1.16-mW total power, making it the optimum solution for multi-channel neural recording systems. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
15498328
Volume :
60
Issue :
10
Database :
Academic Search Index
Journal :
IEEE Transactions on Circuits & Systems. Part I: Regular Papers
Publication Type :
Periodical
Accession number :
90677040
Full Text :
https://doi.org/10.1109/TCSI.2013.2249175