High-performance, water-resistant and ion-conducting gel used as underwater ECG electrodes
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Mechanics of Materials,General Materials Science
Link
https://link.springer.com/content/pdf/10.1007/s10853-023-09087-x.pdf
Reference40 articles.
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3. Acharya UR, Fujita H, Lih OS, Hagiwara Y, Tan JH, Adam M (2017) Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network. Inf Sci 405:81–90. https://doi.org/10.1016/j.ins.2017.04.012
4. Pławiak P, Acharya UR (2019) Novel deep genetic ensemble of classifiers for arrhythmia detection using ECG signals. Neural Comput Appl 32:11137–11161. https://doi.org/10.1007/s00521-018-03980-2
5. Zhang Y, Gravina R, Lu H, Villari M, Fortino G (2018) PEA: parallel electrocardiogram-based authentication for smart healthcare systems. J Netw Comput Appl 117:10–16. https://doi.org/10.1016/j.jnca.2018.05.007
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