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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...
Formato: | Online Artículo Texto |
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Lenguaje: | English |
Publicado: |
IEEE
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7028438/ https://www.ncbi.nlm.nih.gov/pubmed/32082952 http://dx.doi.org/10.1109/JTEHM.2019.2952610 |
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