Removal of Noise from the Body-Seat Interface Temperature Signal Using Empirical Mode Decomposition

摘要：

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 Average (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 R2 values in the application of curve fitting based on the two power series.

关键词： Noise Removal Temperature Empirical Mode Decomposition Seating

作者: Zhuofu Liu Zhongming Luo AnDrew I Heusch Vincenzo Cascioli Peter W McCarthy

作者单位: The higher educational key laboratory for Measuring & Control Technology and Instrumentations of Hei Welsh Institute of Chiropractic, University of Glamorgart, Treforest, Pontypridd, CF37 1DL, United K Murdoch University Chiropractic Clinic, Murdoch, 6150, Western Australia

会议类型: 国际会议

会议名称: The 4th International Symposium on Computational Intelligence and Industrial Application(第四届国际计算智能和工业应用研讨会)

会议地点: 哈尔滨

会议语种:英文

页码: 94-102

在线出版日期: 2010-08-01（万方平台首次上网日期，不代表论文的发表时间）