Classification of ECG beats using deep belief network and active learning.
A new semi-supervised approach based on deep learning and active learning for classification of electrocardiogram signals (ECG) is proposed. The objective of the proposed work is to model a scientific method for classification of cardiac irregularities using electrocardiogram beats. The model follow...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 56; no. 10; pp. 1887 - 1899 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Oct2018
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| Acceso en línea: | Ver este registro en EBSCOhost |