Deep learning for single-lead ECG beat arrhythmia-type detection using novel iris spectrogram representation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-021-06555-x.pdf
Reference73 articles.
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2. Abdalla FYO et al (2020) Deep convolutional neural network application to classify the ECG arrhythmia. Signal Image Video Process. https://doi.org/10.1007/s11760-020-01688-2
3. Abdar M, Kalhori SRN, Sutikno T, Subroto IMI, Arji G (2015) Comparing performance of data mining algorithms in prediction heart diseases. Int J Electr Comput Eng IJECE. https://doi.org/10.11591/ijece.v5i6.pp1569-1576
4. Alfaras M, Soriano MC, Ortín S (2019) A fast machine learning model for ECG-based heartbeat classification and arrhythmia detection. Front Phys. https://doi.org/10.3389/fphy.2019.00103
5. Alqudah AM (2017a) Fuzzy expert system for coronary heart disease diagnosis in Jordan. Health Technol 7(2):215–222. https://doi.org/10.1007/s12553-017-0178-2
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