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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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| Publicado no: | IEEE J Transl Eng Health Med |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7028438/ https://ncbi.nlm.nih.gov/pubmed/32082952 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/JTEHM.2019.2952610 |
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