文献类型：会议论文

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]East China Univ Sci & Technol, Ctr Mechatron Engn, Shanghai 200237, Peoples R China;[2]Shanghai Univ TCM, Sch Bas Med, Shanghai, Peoples R China

会议论文集：1st International Conference on Biomedical Engineering and Informatics

会议日期：MAY 27-30, 2008

会议地点：Sanya, PEOPLES R CHINA

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.