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:EN
Published: IEEE 2020
Subjects:
ECG
bidirectional long short-term memory network
attention mechanism
multi-task learning
Computer applications to medicine. Medical informatics
R858-859.7
Medical technology
R855-855.5
Online Access:https://doaj.org/article/94f2b2040d264ed7ac2bb0956e9dfd1c
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https://doaj.org/article/94f2b2040d264ed7ac2bb0956e9dfd1c

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