Enhancing Arrhythmia Disease Classification Using MLP with Whale Optimization Approach
Author:
Affiliation:
1. Vels Institute of Science, Technology & Advanced Studies,School of Computing Sciences,Department of Computer Science,Chennai,Tamil Nadu,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10601631/10601667/10602331.pdf?arnumber=10602331
Reference14 articles.
1. Arrhythmia Classification Techniques Using Deep Neural Network
2. Deep learning for ECG Arrhythmia detection and classification: an overview of progress for period 2017–2023
3. Arrhythmia Disease Prediction System (ADPS) Using Machine Learning Concepts;Bavani;Mathematical Statistician and Engineering Applications,2022
4. Frequency Domain Features Based Atrial Fibrillation Detection Using Machine Learning And Deep Learning Approach
5. Time-Frequency Domain Modified Vision Transformer Model for Detection of Atrial Fibrillation using Multi-lead ECG Signals
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