Citation

BibTex format

@article{Maslik:2018:10.1109/TBCAS.2018.2817180,
author = {Maslik, M and Liu, Y and Lande, TS and Constandinou, TG},
doi = {10.1109/TBCAS.2018.2817180},
journal = {IEEE Transactions on Biomedical Circuits and Systems},
pages = {471--482},
title = {Continuous-time acquisition of biosignals using a charge-based ADC topology},
url = {http://dx.doi.org/10.1109/TBCAS.2018.2817180},
volume = {12},
year = {2018}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - This paper investigates continuous-time (CT) signal acquisition as an activity-dependent and nonuniform sampling alternative to conventional fixed-rate digitisation. We demonstrate the applicability to biosignal representation by quantifying the achievable bandwidth saving by nonuniform quantisation to commonly recorded biological signal fragments allowing a compression ratio of ≈5 and 26 when applied to electrocardiogram and extracellular action potential signals, respectively. We describe several desirable properties of CT sampling, including bandwidth reduction, elimination/reduction of quantisation error, and describe its impact on aliasing. This is followed by demonstration of a resource-efficient hardware implementation. We propose a novel circuit topology for a charge-based CT analogue-to-digital converter that has been optimized for the acquisition of neural signals. This has been implemented in a commercially available 0.35 μm CMOS technology occupying a compact footprint of 0.12 mm 2 . Silicon verified measurements demonstrate an 8-bit resolution and a 4 kHz bandwidth with static power consumption of 3.75 μW from a 1.5 V supply. The dynamic power dissipation is completely activity-dependent, requiring 1.39 pJ energy per conversion.
AU - Maslik,M
AU - Liu,Y
AU - Lande,TS
AU - Constandinou,TG
DO - 10.1109/TBCAS.2018.2817180
EP - 482
PY - 2018///
SN - 1932-4545
SP - 471
TI - Continuous-time acquisition of biosignals using a charge-based ADC topology
T2 - IEEE Transactions on Biomedical Circuits and Systems
UR - http://dx.doi.org/10.1109/TBCAS.2018.2817180
UR - https://ieeexplore.ieee.org/document/8359012
UR - http://hdl.handle.net/10044/1/57819
VL - 12
ER -

Contact us

Centre for Bio-Inspired Technology
Imperial College London
Bessemer Building
South Kensington
SW7 2AZ, UK

Tel: +44 (0)207 594 0701
Fax: +44 (0)207 594 0704

E-mail: bioinspired@imperial.ac.uk