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

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...

Full description

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/38103/1/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

Internet

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

Similar Items