Removal of noise from the body-seat interface temperature signal using Empirical Mode Decomposition

Zhuofu Liu; Zhongming Luo; Andrew I Heusch; Vincenzo Cascioli; Peter W. McCarthy

Removal of noise from the body-seat interface temperature signal using Empirical Mode Decomposition

Zhuofu Liu^*, Zhongming Luo, Andrew I Heusch, Vincenzo Cascioli, Peter W. McCarthy

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Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Cyfraniad i gynhadledd › adolygiad gan gymheiriaid

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This paper applied the data-driven technique of Empirical Mode Decomposition (EMD) to smooth raw thermal data between body and seat interface. The performance of this EMD-based filter was compared with Moving Av erage (MA) filter, Local Regression (LR) filter and Savitzky-Golay (SG) filter using the goodness of statistics and error charts as judgment criteria. Results showed the EMD-based filter outperformed other de-noising algorithms with the lowest RMSE (root-mean-square-error) and the highest R ² values in the application of curve fitting based on the two power series.

Iaith wreiddiol	Saesneg
Teitl	4th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2010
Tudalennau	94-102
Nifer y tudalennau	9
Statws	Cyhoeddwyd - 2010
Digwyddiad	4th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2010 - Harbin, Tsieina Hyd: 2 Awst 2010 → 8 Awst 2010

Cynhadledd

Cynhadledd	4th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2010
Gwlad/Tiriogaeth	Tsieina
Dinas	Harbin
Cyfnod	2/08/10 → 8/08/10

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@inproceedings{101a7735ba7141d58d10fa8629e27093,

title = "Removal of noise from the body-seat interface temperature signal using Empirical Mode Decomposition",

abstract = "This paper applied the data-driven technique of Empirical Mode Decomposition (EMD) to smooth raw thermal data between body and seat interface. The performance of this EMD-based filter was compared with Moving Av erage (MA) filter, Local Regression (LR) filter and Savitzky-Golay (SG) filter using the goodness of statistics and error charts as judgment criteria. Results showed the EMD-based filter outperformed other de-noising algorithms with the lowest RMSE (root-mean-square-error) and the highest R 2 values in the application of curve fitting based on the two power series.",

keywords = "Empirical Mode Decomposition, Noise removal, Seating, Temperature",

author = "Zhuofu Liu and Zhongming Luo and Heusch, {Andrew I} and Vincenzo Cascioli and McCarthy, {Peter W.}",

year = "2010",

language = "English",

isbn = "9787121113154",

pages = "94--102",

booktitle = "4th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2010",

note = "4th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2010 ; Conference date: 02-08-2010 Through 08-08-2010",

}

Liu, Z, Luo, Z, Heusch, AI, Cascioli, V & McCarthy, PW 2010, Removal of noise from the body-seat interface temperature signal using Empirical Mode Decomposition. yn 4th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2010. tt. 94-102, 4th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2010, Harbin, Tsieina, 2/08/10.

Removal of noise from the body-seat interface temperature signal using Empirical Mode Decomposition. / Liu, Zhuofu; Luo, Zhongming; Heusch, Andrew I et al.

4th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2010. 2010. t. 94-102.

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Cyfraniad i gynhadledd › adolygiad gan gymheiriaid

TY - GEN

T1 - Removal of noise from the body-seat interface temperature signal using Empirical Mode Decomposition

AU - Liu, Zhuofu

AU - Luo, Zhongming

AU - Heusch, Andrew I

AU - Cascioli, Vincenzo

AU - McCarthy, Peter W.

PY - 2010

Y1 - 2010

N2 - This paper applied the data-driven technique of Empirical Mode Decomposition (EMD) to smooth raw thermal data between body and seat interface. The performance of this EMD-based filter was compared with Moving Av erage (MA) filter, Local Regression (LR) filter and Savitzky-Golay (SG) filter using the goodness of statistics and error charts as judgment criteria. Results showed the EMD-based filter outperformed other de-noising algorithms with the lowest RMSE (root-mean-square-error) and the highest R 2 values in the application of curve fitting based on the two power series.

AB - This paper applied the data-driven technique of Empirical Mode Decomposition (EMD) to smooth raw thermal data between body and seat interface. The performance of this EMD-based filter was compared with Moving Av erage (MA) filter, Local Regression (LR) filter and Savitzky-Golay (SG) filter using the goodness of statistics and error charts as judgment criteria. Results showed the EMD-based filter outperformed other de-noising algorithms with the lowest RMSE (root-mean-square-error) and the highest R 2 values in the application of curve fitting based on the two power series.

KW - Empirical Mode Decomposition

KW - Noise removal

KW - Seating

KW - Temperature

M3 - Conference contribution

AN - SCOPUS:84862930628

SN - 9787121113154

SP - 94

EP - 102

BT - 4th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2010

T2 - 4th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2010

Y2 - 2 August 2010 through 8 August 2010

ER -

Removal of noise from the body-seat interface temperature signal using Empirical Mode Decomposition

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