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Paroxysmal atrial fibrillation recognition based on multi-scale wavelet α-entropy
BACKGROUND: This study proposed an effective method based on the wavelet multi-scale α-entropy features of heart rate variability (HRV) for the recognition of paroxysmal atrial fibrillation (PAF). This new algorithm combines wavelet decomposition and non-linear analysis methods. The PAF signal, the...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5654099/ https://www.ncbi.nlm.nih.gov/pubmed/29061181 http://dx.doi.org/10.1186/s12938-017-0406-z |