2/2020 - 9 |
Acquisition and Transmission of ECG Signals Through Stainless Steel Yarn Embroidered in ShirtsMUNTEANU, R. A. , BANULEASA, S. , RUSU, A. , BUTACU, D.-G. |
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Author keywords
biomedical electrodes, biomedical telemetry, electrocardiography, telemedicine, wearable sensors
References keywords
electrodes(22), textile(19), monitoring(19), wearable(12), sensors(9), biomedical(9), conductive(8), systems(7), electrode(7), sensor(6)
No common words between the references section and the paper title.
About this article
Date of Publication: 2020-05-31
Volume 20, Issue 2, Year 2020, On page(s): 73 - 78
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2020.02009
Web of Science Accession Number: 000537943500009
SCOPUS ID: 85087445162
Abstract
A significant percent of all global deaths are caused by cardiovascular diseases (CVD). The diagnostic of the electrocardiogram (ECG) is a clinical practice widely adopted to evaluate the heart condition and identify CVD. For long-term ECG monitoring, a biopotential acquisition system integrated in common clothing is a viable solution for telemedicine. The electrodes and wires play a major role in the comfort and signal quality acquired from the patient. The paper presents a technical solution, where stainless steel yarn was used to create a Lead I Einthoven system consisting of 3 dry electrodes embroidered on a sports shirt. There are novel electrode materials and techniques that push further the state-of-the-art in ECG acquisition, but the authors focused on the currently available materials that are low-cost, widely available and easily integrable into common clothing, in order to seek a simple yet fully functional solution with the potential to become a truly ubiquitous ECG monitoring system. |
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[1] An ECG-based Authentication System Using Siamese Neural Networks, Ivanciu, Liliana, Ivanciu, Iustin-Alexandru, Farago, Paul, Roman, Marius, Hintea, Sorin, Journal of Medical and Biological Engineering, ISSN 1609-0985, Issue 4, Volume 41, 2021.
Digital Object Identifier: 10.1007/s40846-021-00637-9 [CrossRef]
[2] Textile Electronics for VR/AR Applications, Liu, Su, Ma, Kitming, Yang, Bao, Li, Heng, Tao, Xiaoming, Advanced Functional Materials, ISSN 1616-301X, Issue 39, Volume 31, 2021.
Digital Object Identifier: 10.1002/adfm.202007254 [CrossRef]
[3] Wearable IoT power consumption optimization algorithm, Sabin, Banuleasa, Radu, Munteanu, Alexandru, Rusu, 2020 International Conference and Exposition on Electrical And Power Engineering (EPE), ISBN 978-1-7281-8126-4, 2020.
Digital Object Identifier: 10.1109/EPE50722.2020.9305609 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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