Skip to main content

Inkjet printed ECG electrodes for long term biosignal monitoring in personalized and ubiquitous healthcare

Batchelor, John C., Casson, A.J. (2015) Inkjet printed ECG electrodes for long term biosignal monitoring in personalized and ubiquitous healthcare. In: Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE. Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE. . pp. 4013-4016. IEEE, Milan (doi:10.1109/EMBC.2015.7319274) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:54238)

PDF Publisher pdf
Language: English

Restricted to Repository staff only
[thumbnail of published.pdf]
Official URL:
http://dx.doi.org/10.1109/EMBC.2015.7319274

Abstract

This paper investigates the performance of inkjet printed electrodes for electrocardiogram (ECG) monitoring in personalized and ubiquitous healthcare. As a rapid prototyping, additive manufacturing approach, inkjet printing can allow personalization of electrode sizes and shapes and can be used with a range of substrates to achieve good long term connections to the skin. We compare the performance of two types of inkjet electrodes printed using different substrates. Results demonstrate that both new electrodes can record ECG information, with comparable signal-to-noise ratios to conventional Ag/AgCl electrodes. The time-frequency decomposition of the collected signals is also explored.

Item Type: Conference or workshop item (Speech)
DOI/Identification number: 10.1109/EMBC.2015.7319274
Projects: Adaptive Assistive Rehabilitative Technology: Beyond the Clinic (AART-BC)
Uncontrolled keywords: bioelectric potentials; biomedical electrodes; electrocardiography; health care; ink jet printing; medical signal processing; patient monitoring skin; three-dimensional printing; ubiquitous computing; ECG information recording; additive manufacturing approach; electrocardiogram; inkjet printed ECG electrodes; long term biosignal monitoring; personalized healthcare; rapid prototyping; signal-to-noise ratios; skin; time-frequency decomposition; ubiquitous healthcare
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Funders: Organisations -1 not found.
Depositing User: John Batchelor
Date Deposited: 18 Feb 2016 17:56 UTC
Last Modified: 17 Aug 2022 11:00 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/54238 (The current URI for this page, for reference purposes)

University of Kent Author Information

  • Depositors only (login required):

Total unique views for this document in KAR since July 2020. For more details click on the image.