Feature Selection for Interpatient Supervised Heart Beat Classification

Supervised and interpatient classification of heart beats is primordial in many applications requiring long-term monitoring of the cardiac function. Several classification models able to cope with the strong class unbalance and a large variety of feature sets have been proposed for this task. In pra...

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Detalles Bibliográficos
Autores principales: Doquire, G., de Lannoy, G., François, D., Verleysen, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3145344/
https://www.ncbi.nlm.nih.gov/pubmed/21808641
http://dx.doi.org/10.1155/2011/643816

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3145344/
https://www.ncbi.nlm.nih.gov/pubmed/21808641
http://dx.doi.org/10.1155/2011/643816

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