Ítem
Solo Metadatos
Weighted LS-SVM for function estimation applied to artifact removal in bio-signal processing
Título de la revista
Autores
Caicedo Dorado, Alexander
Van Huffel, Sabina
Fecha
2010-08-31
Directores
ISSN de la revista
Título del volumen
Editor
Engineering in Medicine and Biology Society
Citations
Métricas alternativas
Resumen
Abstract
Weighted LS-SVM is normally used for function estimation from highly corrupted data in order to decrease the impact of outliers. However, this method is limited in size and big time series should be segmented in smaller groups. Therefore, border discontinuities represent a problem in the final estimated function. Several methods such as committee networks or multilayer networks of LS-SVMs are used to address this problem, but these methods require extra training and hence the computational cost is increased. In this paper a technique that includes an extra weight vector in the formulation of the cost function for the LS-SVM problem is proposed as an alternative solution. The method is then applied to the removal of some artifacts in biomedical signals.
Palabras clave
Keywords
Joints , Support vector machines , Estimation , Kernel , Biomedical measurements , Training , Robustness
Citations
Enlace a la fuente
https://ieeexplore.ieee.org/abstract/document/5627628
