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BibTex format

@inproceedings{Elia:2016:10.1109/ISCAS.2016.7527295,
author = {Elia, M and Leene, L and Constandinou, TG},
doi = {10.1109/ISCAS.2016.7527295},
pages = {534--637},
publisher = {IEEE},
title = {Continuous-Time Micropower Interface for Neural Recording Applications},
url = {http://dx.doi.org/10.1109/ISCAS.2016.7527295},
year = {2016}
}
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TY  - CPAPER
AB  - This  paper  presents  a  novel  amplifier  architectureintended  for  low  power  neural  recording  applications.  By  usingcontinuous-time   signal   representation,   the   proposed   topologypredominantly  leverages  digital  topologies  taking  advantage  ofefficient  techniques  used  in  time  domain  systems.  This  includeshigher   order   feedback   dynamics   that   allow   direct   analoguesignal quantization and near ideal integrator structures for noiseshaping.  The  system  implemented  in  0.18 μ m  standard  CMOSdemonstrates  the  capability  for  low  noise  instrumentation  witha  bandwidth  of  6 kHz  and  highly  linear  full  dynamic  range.Simulation  results  indicate  1.145 μW  budget  from  0.5 V  supplyvoltage with an input referred thermal noise of 7.7 μVrms.
AU  - Elia,M
AU  - Leene,L
AU  - Constandinou,TG
DO  - 10.1109/ISCAS.2016.7527295
EP  - 637
PB  - IEEE
PY  - 2016///
SP  - 534
TI  - Continuous-Time Micropower Interface for Neural Recording Applications
UR  - http://dx.doi.org/10.1109/ISCAS.2016.7527295
UR  - http://hdl.handle.net/10044/1/30126
ER  -
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