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Automated Method for Discrimination of Arrhythmias Using Time, Frequency, and Nonlinear Features of Electrocardiogram Signals
We developed an automated approach to differentiate between different types of arrhythmic episodes in electrocardiogram (ECG) signals, because, in real-life scenarios, a software application does not know in advance the type of arrhythmia a patient experiences. Our approach has four main stages: (1)...
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| 發表在: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
MDPI
2018
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6068712/ https://ncbi.nlm.nih.gov/pubmed/29966276 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18072090 |
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