文献类型：期刊文献

英文题名：A practical approach to wrist pulse segmentation and single-period average waveform estimation

作者：Xia, Chunming[1]; Li, Yan[1]; Yan, Jianjun[1]; Wang, Yiqin[2]; Yan, Haixia[2]; Guo, Rui[2]; Li, Fufeng[2]

机构：[1] Center for Mechatronics Engineering, East China University of Science and Technology, Shanghai, China; [2] School of Basic Medicine, Shanghai University of TCM, Shanghai, China

年份：2008

卷号：2

起止页码：334

外文期刊名：BioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008

收录：EI(收录号：20083811570089)

语种：英文

摘要：A practical method is proposed to segment the wrist pulse waveform and estimate the average waveform. Some key issues that would affect the performance of the tasks are addressed. A zero-phase filtering was used to accommodate low frequency variations and high frequency noise without the phase-shift distortion, and a moving-window adaptive threshold based segmentation algorithm was used to ensure the segmenting performance. Waveform rotating and scaling, outlier elimination, cross-covariance based alignment, and average waveform estimation were introduced. Testing results show the effectiveness of segmentation performance, and the resulting average waveform well reflect the typical characteristics of the analyzed wrist pulse trend. ? 2008 IEEE.