Explainable detection of atrial fibrillation using deep convolutional neural network with UCMFB
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-15123-4.pdf
Reference66 articles.
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3. Baloglu UB, Talo M, Yildirim O, San Tan R, Acharya UR (2019) Classification of myocardial infarction with multi-lead ecg signals and deep cnn. Pattern Recogn Lett 122:23–30
4. Camm AJ, Kirchhof P, Lip G et al (2010) For the European society for cardiology. guidelines for the management of atrial fibrillation. Eur Heart J 31(19):2369–2429
5. Cervigón R, McGinley B, Craven D, Glavin M, Jones E (2021) The effects of compression on the detection of atrial fibrillation in ecg signals. Appl Sci 11(13):5908
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