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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| Auteurs principaux: | , , , , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
IEEE
2020
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/94f2b2040d264ed7ac2bb0956e9dfd1c |
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