Application of kernel principal component analysis for single-lead-ECG-derived respiration

Recent studies show that principal component analysis (PCA) of heartbeats is a well-performing method to derive a respiratory signal from ECGs. In this study, an improved ECG-derived respiration (EDR) algorithm based on kernel PCA (kPCA) is presented. KPCA can be seen as a generalization of PCA wher...

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Detalles Bibliográficos
Autores Principales: Widjaja, Devy, Varon, Carolina, Dorado, Alexander, Suykens, Johan A. K., Van Huffel, Sabine
Formato: Artículo (Article)
Lenguaje:Inglés (English)
Publicado: IEEE 2012
Materias:
Acceso en línea:https://repository.urosario.edu.co/handle/10336/27226
https://doi.org/10.1109/TBME.2012.2186448