Paper Info
Title
A compact recording array for neural interfaces
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.
Year
DOI
Venue
2013
10.1109/BioCAS.2013.6679648
Biomedical Circuits and Systems Conference
Keywords
Field
DocType
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,power 2.6 muw,power consumption,silicon footprint,size 0.18 mum,ten-bit pcm output,brain computer interfaces
Pulse-code modulation,Dynamic range,Computer science,Communication channel,Electronic engineering,Delta-sigma modulation,CMOS,Bandwidth (signal processing),Local field potential,Finite impulse response,Electrical engineering
Conference
ISSN
Citations 
PageRank 
2163-4025
2
0.44
References 
Authors
2
3
Name
Order
Citations
PageRank
Lieuwe B. Leene184.69
Yan Liu23011.70
Timothy G Constandinou310613.73