Weighted LS-SVM for function estimation applied to artifact removal in bio-signal processing

Alexander Caicedo; Sabine Van Huffel

doi:10.1109/IEMBS.2010.5627628

Weighted LS-SVM for function estimation applied to artifact removal in bio-signal processing

Alexander Caicedo
, Sabine Van Huffel

Research output: Chapter in Book/Inform › Conference contribution

13 Scopus citations

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.

Original language	English (US)
Title of host publication	2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Pages	988-991
Number of pages	4
DOIs	https://doi.org/10.1109/IEMBS.2010.5627628
State	Published - 2010
Externally published	Yes
Event	2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 - Buenos Aires, Argentina Duration: Aug 31 2010 → Sep 4 2010

Publication series

Name	2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Conference

Conference	2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Country/Territory	Argentina
City	Buenos Aires
Period	8/31/10 → 9/4/10

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 1 No Poverty

All Science Journal Classification (ASJC) codes

Biomedical Engineering
Computer Vision and Pattern Recognition
Signal Processing
Health Informatics

Access to Document

10.1109/IEMBS.2010.5627628

Cite this

Caicedo, A., & Van Huffel, S. (2010). Weighted LS-SVM for function estimation applied to artifact removal in bio-signal processing. In 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 (pp. 988-991). Article 5627628 (2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10). https://doi.org/10.1109/IEMBS.2010.5627628

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title = "Weighted LS-SVM for function estimation applied to artifact removal in bio-signal processing",

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.",

author = "Alexander Caicedo and \{Van Huffel\}, Sabine",

note = "Copyright: Copyright 2011 Elsevier B.V., All rights reserved.; 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 ; Conference date: 31-08-2010 Through 04-09-2010",

year = "2010",

doi = "10.1109/IEMBS.2010.5627628",

language = "English (US)",

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Caicedo, A & Van Huffel, S 2010, Weighted LS-SVM for function estimation applied to artifact removal in bio-signal processing. in 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10., 5627628, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10, pp. 988-991, 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10, Buenos Aires, Argentina, 8/31/10. https://doi.org/10.1109/IEMBS.2010.5627628

Weighted LS-SVM for function estimation applied to artifact removal in bio-signal processing. / Caicedo, Alexander; Van Huffel, Sabine.
2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10. 2010. p. 988-991 5627628 (2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10).

Research output: Chapter in Book/Inform › Conference contribution

TY - GEN

T1 - Weighted LS-SVM for function estimation applied to artifact removal in bio-signal processing

AU - Caicedo, Alexander

AU - Van Huffel, Sabine

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

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UR - https://www.scopus.com/pages/publications/78650832742#tab=citedBy

U2 - 10.1109/IEMBS.2010.5627628

DO - 10.1109/IEMBS.2010.5627628

M3 - Conference contribution

C2 - 21096987

AN - SCOPUS:78650832742

SN - 9781424441235

T3 - 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

SP - 988

EP - 991

BT - 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

T2 - 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Y2 - 31 August 2010 through 4 September 2010

ER -

Caicedo A, Van Huffel S. Weighted LS-SVM for function estimation applied to artifact removal in bio-signal processing. In 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10. 2010. p. 988-991. 5627628. (2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10). doi: 10.1109/IEMBS.2010.5627628

Weighted LS-SVM for function estimation applied to artifact removal in bio-signal processing

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

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Cite this