An improved ECG-derived respiration method using kernel principal component analysis
Recent studies show that principal component analysis (PCA) of heart beats generates well-performing ECG-derived respiratory signals (EDR). This study aims at improving the performance of EDR signals using kernel PCA (kPCA). Kernel PCA is a generalization of PCA where nonlinearities in the data are...
| Autores Principales: | , , , |
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| Formato: | Artículo (Article) |
| Lenguaje: | Inglés (English) |
| Publicado: |
Engineering in Medicine and Biology Society
2011
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| Materias: | |
| Acceso en línea: | https://repository.urosario.edu.co/handle/10336/28434 |