An Arrhythmia Classification Model Based on a CNN-LSTM-SE Algorithm

An Arrhythmia Classification Model Based on a CNN-LSTM-SE Algorithm

Arrhythmia is the main cause of sudden cardiac death, and ECG signal analysis is a common method for the noninvasive diagnosis of arrhythmia. In this paper, we propose an arrhythmia classification model based on the combination of a channel attention mechanism (SE module), convolutional neural netwo...

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Bibliographic Details
Main Authors: Ao Sun, Wei Hong, Juan Li, Jiandong Mao
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Sensors
Subjects:
arrhythmia
CNN-LSTM-SE
classification prediction
Online Access:https://www.mdpi.com/1424-8220/24/19/6306

Internet

https://www.mdpi.com/1424-8220/24/19/6306

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