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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...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6928852/ https://ncbi.nlm.nih.gov/pubmed/31766323 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19235079 |
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