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...

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Detalles Bibliográficos
Autores principales: Xin, Yi, Zhao, Yizhang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
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

Internet

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

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