Automatic detection of arrhythmia from imbalanced ECG database using CNN model with SMOTE-Reference-Cited by-同舟云学术

Automatic detection of arrhythmia from imbalanced ECG database using CNN model with SMOTE

Published:2019-11-14 Issue:4 Volume:42 Page:1129-1139
ISSN:0158-9938
Container-title:Australasian Physical & Engineering Sciences in Medicine
language:en
Short-container-title:Australas Phys Eng Sci Med

Author:

Pandey Saroj Kumar^ORCID,Janghel Rekh Ram

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Biophysics,General Physics and Astronomy

Link

http://link.springer.com/content/pdf/10.1007/s13246-019-00815-9.pdf

Reference62 articles.

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4. Singh S et al (2018) Classification of ECG arrhythmia using recurrent neural networks. Proced Comput Sci 132:1290–1297

5. De Chazal P, O’Dwyer M, Reilly RB (2004) Automatic classification of heartbeats using ECG morphology and heartbeat interval features. IEEE Trans Biomed Eng 51(7):1196–1206

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