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基于小波变换的高血压病特征提取
引用本文:张珣,杜盼盼. 基于小波变换的高血压病特征提取[J]. 中国医疗器械杂志, 2010, 34(6): 408-410. DOI: 10.3969/j.isnn.1671-7104.2010.06,005
作者姓名:张珣  杜盼盼
作者单位:杭州电子科技大学电子信息学院,浙江杭州310018
基金项目:国家自然科学基金资助项目
摘    要:
介绍了用正交小波作为小波变换的基函数,对脉搏信号做多尺度不同频带分解,通过功率谱密度分析发现无论正常与否第4层细节信号能量主要集中在3-5Hz,而第5层细节信号能量集中在1-3 Hz。分别计算两者的能量作比较,结果表明,与正常信号相比,高血压信号3-5Hz频带内的能量显著增大。

关 键 词:高血压信号  小波变换  功率谱密度  能量

The Feature Extraction of Hypertension Based on Wavelet Transform
Zhang Xun,Du Panpan. The Feature Extraction of Hypertension Based on Wavelet Transform[J]. Chinese journal of medical instrumentation, 2010, 34(6): 408-410. DOI: 10.3969/j.isnn.1671-7104.2010.06,005
Authors:Zhang Xun  Du Panpan
Affiliation:School of Electronic Information,Hangzhou Dianzi University,Hangzhou,Zhejiang China,310018
Abstract:
This paper carries out the multi-scale decomposition of pulse signals on different frequency bands by wavelet transform,and the analysis of power spectral density shows that the detailed signal energy of the fourth layer mainly concentrates on the 3-5Hz,while the energy of the fifth layer concentrating on the 1-3Hz.Through calculating the energy,the experimental results show that: the hypertension signal energy of 3-5Hz band increases significantly,compared with the normal signals.
Keywords:Hypertension  Wavelet transform  Power spectral density  Energy
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