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Classification of atrial fibrillation and normal sinus rhythm based on convolutional neural network
Electrocardiogram (ECG) technology plays a vital role in detecting arrhythmia. Numerous achievements have been marked in ECG-related research. Most methods first pre-process ECG signals, then extract features, and finally classify them. Most of the ECG signals used in the related studies were analyz...
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| Yayımlandı: | Biomed Eng Lett |
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| Asıl Yazarlar: | , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
The Korean Society of Medical and Biological Engineering
2020
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7235126/ https://ncbi.nlm.nih.gov/pubmed/32431951 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s13534-020-00146-9 |
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