DocumentCode :
651453
Title :
A compact recording array for neural interfaces
Author :
Leene, Lieuwe B. ; Yan Liu ; Constandinou, Timothy G.
Author_Institution :
Dept. of Electr. & Electron. Eng., Imperial Coll. London, London, UK
fYear :
2013
fDate :
Oct. 31 2013-Nov. 2 2013
Firstpage :
97
Lastpage :
100
Abstract :
This paper presents a 44-channel front-end neural interface for recording both Extracellular Action Potentials (EAPs) and Local Field Potentials (LFPs) with 60 dB dynamic range. With a silicon footprint of only 0.015 mm2 per recording channel this allows an unprecedented order of magnitude area reduction over state-of-the-art implementations in 0.18 μm CMOS. This highly compact configuration is achievable by introducing an in-channel Sigma Delta assisted Successive Approximation Register (ΣΔ-SAR) hybrid data converter integrated into the analogue front-end. A pipelined low complexity FIR filter is distributed across 44-channels to resolve a 10-bit PCM output. The proposed system achieves an input referred noise of 6.41 μVrms with a 6 kHz bandwidth and sampled at 12.5 kS/s, with a power consumption of 2.6 μW per channel.
Keywords :
CMOS integrated circuits; FIR filters; analogue-digital conversion; bioelectric potentials; biomedical electronics; brain-computer interfaces; cellular biophysics; medical signal processing; noise; pulse code modulation; CMOS; FIR filter; analogue front-end; bandwidth 6 kHz; extracellular action potential recording; forty four-channel front-end neural interface; gain 60 dB; hybrid data converter; in-channel sigma delta assisted successive approximation register; local field potential recording; neural recording array; noise; power 2.6 muW; power consumption; silicon footprint; size 0.18 mum; ten-bit PCM output; Capacitors; Choppers (circuits); Finite impulse response filters; Modulation; Noise; Registers; Switches;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Circuits and Systems Conference (BioCAS), 2013 IEEE
Conference_Location :
Rotterdam
Type :
conf
DOI :
10.1109/BioCAS.2013.6679648
Filename :
6679648
Link To Document :
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