Robust algorithm for arrhythmia classification in ECG using extreme learning machine

BACKGROUND: Recently, extensive studies have been carried out on arrhythmia classification algorithms using artificial intelligence pattern recognition methods such as neural network. To improve practicality, many studies have focused on learning speed and the accuracy of neural networks. However, a...

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Detalles Bibliográficos
Autores principales: Kim, Jinkwon, Shin, Hang Sik, Shin, Kwangsoo, Lee, Myoungho
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2781013/
https://www.ncbi.nlm.nih.gov/pubmed/19863819
http://dx.doi.org/10.1186/1475-925X-8-31

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2781013/
https://www.ncbi.nlm.nih.gov/pubmed/19863819
http://dx.doi.org/10.1186/1475-925X-8-31

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