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基于小波变换的高血压病特征提取

The Feature Extraction of Hypertension Based on Wavelet Transform
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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。 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.
作者 张珣 杜盼盼
出处 《中国医疗器械杂志》 CAS 2010年第6期408-410,共3页 Chinese Journal of Medical Instrumentation
基金 国家自然科学基金资助项目60871020
关键词 高血压信号 小波变换 功率谱密度 能量 Hypertension Wavelet transform Power spectral density Energy
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