Deep Learning based Arrhythmia Classification using Orthogonal Wavelet Filtering with Moth Flame Optimization Algorithm-Reference-Cited by-同舟云学术

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Deep Learning based Arrhythmia Classification using Orthogonal Wavelet Filtering with Moth Flame Optimization Algorithm

Published:2023-11-24 Issue: Volume:2 Page:1-5
ISSN:
Container-title:2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS)
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Author:

Adnan Myasar Mundher¹,Ramachandra A C²,Patra Rajkumar³,Jagadish Sripelli⁴,Hussein Abbas Hameed Abdul⁵

Affiliation:

1. The Islamic university,Najaf,Iraq

2. Nitte Meenakshi Institute of Technology,Department of Electronics and Communication Engineering,Bengaluru,India

3. CMR Technical Campus,Department of Computer Science and Engineering,Hyderabad,India

4. SR University,School of Computer Science & Artificial Intelligence,Warangal,India

5. Ahl Al Bayt University,College of Pharmacy,Karbala,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10420831/10420858/10421630.pdf?arnumber=10421630

Reference15 articles.

1. Multirate Processing with Selective Subbands and Machine Learning for Efficient Arrhythmia Classification

2. A Hybrid Deep Learning Approach for ECG-Based Arrhythmia Classification

3. Development and Validation of Embedded Device for Electrocardiogram Arrhythmia Empowered with Transfer Learning

4. Machine learning optimization of an electronic health record audit for heart failure in primary care

5. Electronic Health Record-Based Deep Learning Prediction of Death or Severe Decompensation in Heart Failure Patients

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