A Multi-Task Group Bi-LSTM Networks Application on Electrocardiogram Classification

A Multi-Task Group Bi-LSTM Networks Application on Electrocardiogram Classification

Background: Cardiovascular diseases (CVD) are the leading cause of death globally. Electrocardiogram (ECG) analysis can provide thoroughly assessment for different CVDs efficiently. We propose a multi-task group bidirectional long short-term memory (MTGBi-LSTM) framework to intelligent recognize mul...

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Bibliographic Details
Main Authors: Qiu-Jie Lv, Hsin-Yi Chen, Wei-Bin Zhong, Ying-Ying Wang, Jing-Yan Song, Sai-Di Guo, Lian-Xin Qi, Calvin Yu-Chian Chen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Translational Engineering in Health and Medicine
Subjects:
ECG
bidirectional long short-term memory network
attention mechanism
multi-task learning
Online Access:https://ieeexplore.ieee.org/document/8896884/

Internet

https://ieeexplore.ieee.org/document/8896884/

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