BibTex format

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 = {},
year = {2016}

RIS format (EndNote, RefMan)

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
PY - 2016///
SP - 534
TI - Continuous-Time Micropower Interface for Neural Recording Applications
UR -
UR -
ER -