Feature Extraction for the Wrist-pulse-signals in Traditional Chinese Medicine by Ensemble Empirical Mode Decomposition

被引：0
|
作者：
向程 [1 ]
覃开蓉 [2 ]
机构：
[1] Department of Electrical and Computer Engineering,National University of Singapore,Singapore
[2] Department of Electrical and Computer Engineering,National University of Singapore,Singapore Shanghai Research Center of Acupuncture & Meridian,Shanghai 201203,P.R.China
来源：
Journal of Acupuncture and Tuina Science | 2008年 / 6卷 / 06期
关键词：
EEMD;
D O I：
暂无
中图分类号：
R241.1 [脉学];
学科分类号：
100505 ;
摘要：
Pulse diagnosis plays a vital role in Traditional Chinese Medicine(TCM).To extract effective and properfeatures from the wrist-pulse-signals is a crucial step for the recognition and classification of the pulsesignals.Although the analysis in the time domain is also very effective for a lot of pulse types(SHU et al.,2007),the frequency and time-frequency analysis are usually used in the literature(YAN et al.,2005;YUEet al.,2006)because the pulse signals are non-stationary and non-periodic time series in the pathologicalstates.In recent years,a new time-frequency analysis method,Hilbert-HUANG Transform proposed by
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页码：327 / 327
页数：1
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