An arrhythmia classification algorithm using a dedicated wavelet adapted to different subjects

BACKGROUND: Numerous studies have been conducted regarding a heartbeat classification algorithm over the past several decades. However, many algorithms have also been studied to acquire robust performance, as biosignals have a large amount of variation among individuals. Various methods have been pr...

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Detalles Bibliográficos
Autores principales: Kim, Jinkwon, Min, Se Dong, Lee, Myoungho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3142238/
https://www.ncbi.nlm.nih.gov/pubmed/21707989
http://dx.doi.org/10.1186/1475-925X-10-56

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3142238/
https://www.ncbi.nlm.nih.gov/pubmed/21707989
http://dx.doi.org/10.1186/1475-925X-10-56

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