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Accurate deep neural network model to detect cardiac arrhythmia on more than 10,000 individual subject ECG records
BACKGROUND AND OBJECTIVE: Cardiac arrhythmia, which is an abnormal heart rhythm, is a common clinical problem in cardiology. Detection of arrhythmia on an extended duration electrocardiogram (ECG) is done based on initial algorithmic software screening, with final visual validation by cardiologists....
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| Udgivet i: | Comput Methods Programs Biomed |
|---|---|
| Main Authors: | , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Elsevier B.V.
2020
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7477611/ https://ncbi.nlm.nih.gov/pubmed/32932129 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cmpb.2020.105740 |
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