Hybrid Network with Attention Mechanism for Detection and Location of Myocardial Infarction Based on 12-Lead Electrocardiogram Signals

Hybrid Network with Attention Mechanism for Detection and Location of Myocardial Infarction Based on 12-Lead Electrocardiogram Signals

The electrocardiogram (ECG) is a non-invasive, inexpensive, and effective tool for myocardial infarction (MI) diagnosis. Conventional detection algorithms require solid domain expertise and rely heavily on handcrafted features. Although previous works have studied deep learning methods for extractin...

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Bibliographic Details
Main Authors: Lidan Fu, Binchun Lu, Bo Nie, Zhiyun Peng, Hongying Liu, Xitian Pi
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Sensors
Subjects:
myocardial infarction
electrocardiogram
attention mechanism
convolutional neural network
bidirectional gated recurrent unit
Online Access:https://www.mdpi.com/1424-8220/20/4/1020

Internet

https://www.mdpi.com/1424-8220/20/4/1020

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