A Practical Approach to Wrist Pulse Segmentation and Single-period Average Waveform Estimation

May 27-May 30

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http://doi.ieeecomputersociety.org/10.1109/BMEI.2008.140

2008 International Conference on BioM ...

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	ASCII Text	x
	Chunming Xia, Yan Li, Jianjun Yan, Yiqin Wang, Haixia Yan, Rui Guo, Fufeng Li, "A Practical Approach to Wrist Pulse Segmentation and Single-period Average Waveform Estimation," BioMedical Engineering and Informatics, International Conference on, vol. 2, pp. 334-338, 2008 International Conference on BioMedical Engineering and Informatics, 2008.

	BibTex	x
	@article{ 10.1109/BMEI.2008.140, author = {Chunming Xia and Yan Li and Jianjun Yan and Yiqin Wang and Haixia Yan and Rui Guo and Fufeng Li}, title = {A Practical Approach to Wrist Pulse Segmentation and Single-period Average Waveform Estimation}, journal ={BioMedical Engineering and Informatics, International Conference on}, volume = {2}, year = {2008}, isbn = {978-0-7695-3118-2}, pages = {334-338}, doi = {http://doi.ieeecomputersociety.org/10.1109/BMEI.2008.140}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - BioMedical Engineering and Informatics, International Conference on TI - A Practical Approach to Wrist Pulse Segmentation and Single-period Average Waveform Estimation SN - 978-0-7695-3118-2 SP334 EP338 A1 - Chunming Xia, A1 - Yan Li, A1 - Jianjun Yan, A1 - Yiqin Wang, A1 - Haixia Yan, A1 - Rui Guo, A1 - Fufeng Li, PY - 2008 KW - wrist pulse segmentation KW - average waveform estimation KW - zero-phase filtering KW - adaptive threshold KW - cross-covariance KW - alignment VL - 2 JA - BioMedical Engineering and Informatics, International Conference on ER -

Yan Li

Rui Guo

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.

Index Terms:

wrist pulse segmentation, average waveform estimation, zero-phase filtering, adaptive threshold, cross-covariance, alignment

Citation:

Chunming Xia, Yan Li, Jianjun Yan, Yiqin Wang, Haixia Yan, Rui Guo, Fufeng Li, "A Practical Approach to Wrist Pulse Segmentation and Single-period Average Waveform Estimation," bmei, vol. 2, pp.334-338, 2008 International Conference on BioMedical Engineering and Informatics, 2008

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