计算机应用与软件2016，Vol.33Issue(8)：91-94,98,5.DOI:10.3969/j.issn.1000-386x.2016.08.020
LMD 端点延拓方法在脉象信号处理中的应用研究
ON APPLYING ENDPOINT EXTENSION METHOD OF LMD IN PROCESSING WRIST PULSE SIGNALS
摘要
Abstract
We applied the LMD algorithm in wrist pulse signals analyses for the first time in order to improve low computational efficiency and heavy endpoint effect that the EMD algorithm exists in pulse signals analyses.Meanwhile,for the endpoint contamination existed still,by combining the wavelet modulus maxima denoising method we proposed a matching degree-based wrist pulse signal extension method.In it the wavelet modulus maxima denoising method is applied to the signal preprocessing,solves the problems in LMD algorithm caused by noise that it is unconvergence and the signal diverges from both ends.Through verification of simulated signal and actual processing on wrist pulse signal,results showed that LMD algorithm has good decomposition effect and can more accurately reflect the characteristic information in pulse.Moreover,the proposed matching degree-based extension method for wrist pulse signal can evidently improve the end effect in LMD algorithm.关键词
脉象信号/LMD/端点延拓/小波模极大值去噪Key words
Wrist pulse signal/Local mean decomposition (LMD)/Endpoint extension/Wavelet modulus maxima denoising分类
信息技术与安全科学引用本文复制引用
卫佳骏,夏春明,周侃恒,刘攀,王忆勤,燕海霞..LMD 端点延拓方法在脉象信号处理中的应用研究[J].计算机应用与软件,2016,33(8):91-94,98,5.基金项目
国家自然科学基金项目（81473594，81102729，81173199）。 （）
