Inter-patient ECG heartbeat classification for arrhythmia classification: a new approach of multi-layer perceptron with weight capsule and sequence-to-sequence combination

Inter-patient ECG heartbeat classification for arrhythmia classification: a new approach of multi-layer perceptron with weight capsule and sequence-to-sequence combination

Objective: The objective of this research is to construct a method to alleviate the problem of sample imbalance in classification, especially for arrhythmia classification. This approach can improve the performance of the model without using data enhancement.Methods: In this study, we have developed...

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Bibliographic Details
Main Authors: Chenchen Zhou, Xiangkui Li, Fan Feng, Jian Zhang, He Lyu, Weixuan Wu, Xuezhi Tang, Bin Luo, Dong Li, Wei Xiang, Dengju Yao
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-09-01
Series:Frontiers in Physiology
Subjects:
arrhythmia classification
multilayer perceptron
weight capsule
MIT-BIH
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2023.1247587/full

Internet

https://www.frontiersin.org/articles/10.3389/fphys.2023.1247587/full

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