An automatic arrhythmia classification model based on improved Marine Predators Algorithm and Convolutions Neural Networks

作者：

Highlights：

• Combined Marine Predators Algorithm and Convolutional Neural Network is presented.

• The proposed method is applied to classify the ECG arrhythmia.

• The proposed outperforms other existing classification models.

摘要

•Combined Marine Predators Algorithm and Convolutional Neural Network is presented.•The proposed method is applied to classify the ECG arrhythmia.•The proposed outperforms other existing classification models.

论文关键词：Electrocardiogram (ECG),Arrhythmia classification,Metaheuristics,Marine Predators Algorithm,Convolution Neural Network,Features selection

论文评审过程：Received 12 December 2020, Revised 15 August 2021, Accepted 17 September 2021, Available online 2 October 2021, Version of Record 7 October 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115936