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Machine Learning Techniques for the Detection of Shockable Rhythms in Automated External Defibrillators
Early recognition of ventricular fibrillation (VF) and electrical therapy are key for the survival of out-of-hospital cardiac arrest (OHCA) patients treated with automated external defibrillators (AED). AED algorithms for VF-detection are customarily assessed using Holter recordings from public elec...
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| Publicado no: | PLoS One |
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| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4956226/ https://ncbi.nlm.nih.gov/pubmed/27441719 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0159654 |
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