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)
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Language: English Restricted to Repository staff only |
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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) |
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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: | 05 Nov 2024 10:41 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/54238 (The current URI for this page, for reference purposes) |
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