An adaptive Marine Predator Optimization Algorithm (MPOA) integrated Gated Recurrent Neural Network (GRNN) classifier model for arrhythmia detection-Reference-Cited by-同舟云学术

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An adaptive Marine Predator Optimization Algorithm (MPOA) integrated Gated Recurrent Neural Network (GRNN) classifier model for arrhythmia detection

Published:2024-08 Issue: Volume:94 Page:106328
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Pashikanti Rajesh^ORCID,Patil C.Y.,Amita Anirudhe Shinde

Publisher

Elsevier BV

Reference52 articles.

1. Arrhythmia disease classification utilizing ResRNN;Dhyani;Biomed. Signal Process. Control,2023

2. A systematic review on artificial intelligence-based techniques for diagnosis of cardiovascular arrhythmia diseases: challenges and opportunities;Singhal;Arch. Comput. Meth. Eng.,2023

3. Fragment-level classification of ECG arrhythmia using wavelet scattering transform;Nahak;Expert Syst. Appl.,2023

4. Automatic classification method of arrhythmias based on 12-Lead Electrocardiogram;Yang;Sensors,2023

5. Deep Learning-based ECG arrhythmia classification: a systematic review;Xiao;Appl. Sci.,2023

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