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A framework for comparative study of databases and computational methods for arrhythmia detection from single-lead ECG
Arrhythmia detection from ECG is an important area of computational ECG analysis. However, although a large number of public ECG recordings are available, most research uses only few datasets, making it difficult to estimate the generalizability of the plethora of ECG classification methods. Further...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10356811/ https://www.ncbi.nlm.nih.gov/pubmed/37468574 http://dx.doi.org/10.1038/s41598-023-38532-9 |