HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN

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HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN

Deep learning-based models have achieved significant success in detecting cardiac arrhythmia by analyzing ECG signals to categorize patient heartbeats. To improve the performance of such models, we have developed a novel hybrid hierarchical attention-based bidirectional recurrent neural network with...

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Bibliographic Details
Main Authors:	Islam, Md Shofiqul, Hasan, Khondokar Fida, Sultana, Sunjida, Uddin, Shahadat, Lio’, Pietro, Quinn, Julian M.W., Moni, Mohammad Ali
Format:	Article
Language:	English English
Published:	Elsevier Ltd 2023
Subjects:	Q Science (General) QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/38103/ http://umpir.ump.edu.my/id/eprint/38103/1/HARDC_A%20novel%20ECG-based%20heartbeat%20classification%20method%20to%20detect%20arrhythmia%20using%20hierarchical.pdf http://umpir.ump.edu.my/id/eprint/38103/2/HARDC_A%20novel%20ECG-based%20heartbeat%20classification%20method%20to%20detect%20arrhythmia%20using%20hierarchical.ABS.pdf

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