Continuous-time acquisition of biosignals using a charge-based ADC topology

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Title: Continuous-time acquisition of biosignals using a charge-based ADC topology
Authors: Maslik, M
Liu, Y
Lande, TS
Constandinou, TG
Item Type: Journal Article
Abstract: This paper investigates Continuous-Time (CT) signal acquisition as an activity-dependent and non-uniform sampling alternative to conventional fixed-rate digitisation. We demonstrate the applicability to biosignal representation by quantifying the achievable bandwidth saving by non-uniform quantisation to commonly recorded biological signal fragments allowing a compression ratio of 5 and 26 when applied to Electrocardiogram (ECG) and Extracellular Action Potential (EAP) 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 (CT ADC) that has been optimised for the acquisition of neural signals. This has been implemented in a commercially-available 0.35µm CMOS technology occupying a compact footprint of 0.12mm². Silicon verified measurements demonstrate an 8-bit resolution and a 4kHz bandwidth with static power consumption of 3.75µW from a 1.5V supply. The dynamic power dissipation is completely activity-dependent, requiring 1.39pJ energy per conversion.
Issue Date: 1-Jun-2018
Date of Acceptance: 27-Feb-2018
URI: http://hdl.handle.net/10044/1/57819
DOI: https://dx.doi.org/10.1109/TBCAS.2018.2817180
ISSN: 1932-4545
Publisher: Institute of Electrical and Electronics Engineers
Start Page: 471
End Page: 482
Journal / Book Title: IEEE Transactions on Biomedical Circuits and Systems
Volume: 12
Issue: 3
Copyright Statement: © 2018 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications standards/publications/rights/index.html for more information.
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: EP/M020975/1
Keywords: Science & Technology
Technology
Engineering, Biomedical
Engineering, Electrical & Electronic
Engineering
Analogue-to-Digital Converter
Biosignals
Continuous-Time
CT-ADC
EAP
ECG
LFP
LEVEL-CROSSING ADC
SIGNALS
SYSTEM
SENSOR
SOC
0903 Biomedical Engineering
0906 Electrical And Electronic Engineering
Electrical & Electronic Engineering
Publication Status: Published
Online Publication Date: 2018-05-15
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering



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