The University of Southampton
University of Southampton Institutional Repository

Performance of graphene ECG electrodes under varying conditions

Performance of graphene ECG electrodes under varying conditions
Performance of graphene ECG electrodes under varying conditions
Smart garments for invisible health sensing have been available for a number of years, with heart sensing typically performed using silver loaded conductive threads integrated into the fabric to pick up the electrocardiogram. Recent work has investigated printed graphene textiles as an alternative to this, which are potentially more environmentally friendly, cost-effective, and can be performed after garment manufacturing. This paper presents an exploration of secondorder factors on the performance of graphene textile electrodes for electrocardiogram measurements. We prepare graphenebased textile electrodes using a simple and highly scalable continuous padding method. We then analyze two metrics: the change in heart rate estimation error, and the changes in signal-to-noise ratio; under two separate conditions: an extended record length, and varying temperatures; to recreate the some of the conditions the material would experience when being worn in real-life. We report that neither the heart rate estimation error or the signal-to-noise ratio are significantly affected after a long record or with varying temperature. These tests indicate that graphene electrodes are suitable for electrocardiogram measurements in a wearable that will be subjected to these conditions.
Beach, Christopher
d543a5a7-9e89-4c6e-920a-6658cde819c2
Karim, Nazmul
31555bd6-2dc7-4359-b717-3b2fe223df36
Casson, Alexander J
d0c7e56f-0e94-493f-bd1c-721688f1c563
Beach, Christopher
d543a5a7-9e89-4c6e-920a-6658cde819c2
Karim, Nazmul
31555bd6-2dc7-4359-b717-3b2fe223df36
Casson, Alexander J
d0c7e56f-0e94-493f-bd1c-721688f1c563

Beach, Christopher, Karim, Nazmul and Casson, Alexander J (2018) Performance of graphene ECG electrodes under varying conditions. 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, , Honolulu, United States. 18 - 21 Jul 2018. (doi:10.1109/EMBC.2018.8513376).

Record type: Conference or Workshop Item (Paper)

Abstract

Smart garments for invisible health sensing have been available for a number of years, with heart sensing typically performed using silver loaded conductive threads integrated into the fabric to pick up the electrocardiogram. Recent work has investigated printed graphene textiles as an alternative to this, which are potentially more environmentally friendly, cost-effective, and can be performed after garment manufacturing. This paper presents an exploration of secondorder factors on the performance of graphene textile electrodes for electrocardiogram measurements. We prepare graphenebased textile electrodes using a simple and highly scalable continuous padding method. We then analyze two metrics: the change in heart rate estimation error, and the changes in signal-to-noise ratio; under two separate conditions: an extended record length, and varying temperatures; to recreate the some of the conditions the material would experience when being worn in real-life. We report that neither the heart rate estimation error or the signal-to-noise ratio are significantly affected after a long record or with varying temperature. These tests indicate that graphene electrodes are suitable for electrocardiogram measurements in a wearable that will be subjected to these conditions.

This record has no associated files available for download.

More information

Published date: 29 October 2018
Venue - Dates: 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, , Honolulu, United States, 2018-07-18 - 2018-07-21

Identifiers

Local EPrints ID: 495719
URI: http://eprints.soton.ac.uk/id/eprint/495719
PURE UUID: 673b4187-f46d-48b0-8ca5-7fa19c3d7b14
ORCID for Nazmul Karim: ORCID iD orcid.org/0000-0002-4426-8995

Catalogue record

Date deposited: 20 Nov 2024 18:01
Last modified: 21 Nov 2024 03:11

Export record

Altmetrics

Contributors

Author: Christopher Beach
Author: Nazmul Karim ORCID iD
Author: Alexander J Casson

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×