Open AccessAn End-to-End Cardiac Arrhythmia Recognition Method with an Effective DenseNet Model on Imbalanced Datasets Using ECG Signal
Author(s) -
Hadaate Ullah,
Md Belal Bin Heyat,
Faijan Akhtar,
Sumbul,
Abdullah Y. Muaad,
Md. Sajjatul Islam,
Zia Abbas,
Taisong Pan,
Min Gao,
Yuan Lin,
Dakun Lai
Publication year - 2022
Publication title -
computational intelligence and neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.605
H-Index - 52
eISSN - 1687-5273
pISSN - 1687-5265
DOI - 10.1155/2022/9475162
Subject(s) - computer science , end to end principle , signal (programming language) , pattern recognition (psychology) , artificial intelligence , cardiac arrhythmia , speech recognition , data mining , cardiology , medicine , atrial fibrillation , programming language
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