AUTOMATED ECG CLASSIFICATION USING DEEP LEARNING FRAMEWORK

Authors

  • Ms. K. Baby Ramya, Ms. M. Anitha, Mr. N. Mani Vidyadhar Author

DOI:

https://doi.org/10.48047/gwm0ja79

Keywords:

ECG, CNN, PSO, CNN-LSTM, MIT-BIH

Abstract

This project presents a novel computational framework for cardiac arrhythmia classification that combines particle swarm optimization with convolution neural networks. The proposed system automatically optimizes neural network architectures

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Published

06.06.2025

Issue

Vol. 15 No. 6 (2025): volume 15 issue 6(2025)

Section

Articles

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How to Cite

AUTOMATED ECG CLASSIFICATION USING DEEP LEARNING FRAMEWORK. (2025). International Journal of Information and Electronics Engineering, 15(6), 125-137. https://doi.org/10.48047/gwm0ja79