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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...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2009
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| Materias: | |
| 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 |