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...
| Publicado en: | BioMedical Engineering OnLine Vol. 8; pp. 31 - 32 |
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| Autores principales: | , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
BioMed Central
2009
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| Acceso en línea: | Ver este registro en EBSCOhost |