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Towards Real-Time Heartbeat Classification: Evaluation of Nonlinear Morphological Features and Voting Method
Abnormal heart rhythms are one of the significant health concerns worldwide. The current state-of-the-art to recognize and classify abnormal heartbeats is manually performed by visual inspection by an expert practitioner. This is not just a tedious task; it is also error prone and, because it is per...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928852/ https://www.ncbi.nlm.nih.gov/pubmed/31766323 http://dx.doi.org/10.3390/s19235079 |