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基于伪Wigner-Ville分布的高血压病理信号时频特征提取新方法
作者姓名:Zhang X  Zhang M  Du P
作者单位:杭州电子科技大学电子信息学院
基金项目:国家自然科学基金资助项目(60871020)
摘    要:高血压作为目前世界上发病率最高的疾病之一,是引起脑卒中、冠心病和肾功能不全等严重疾病的重要因素。本文应用伪Wigner-Ville分布的方法,通过测定脉象信号能量集中圈的时间范围,进行相关的特征分析;针对目前血压处在正常高值水平的人群约半数以上可能发展为高血压的现状,探究在高血压前期发生血管病变的脉象特性,以期解决正常高值人群在临床上无明显特征反应的问题。分析结果表明发生高血压病变的信号高能量圈持续的时间范围比正常信号小,应用此方法可以有效地区分健康信号和有高血压病变的信号,为血压处于临界期的病变信号判断提供了一个新依据。

关 键 词:高血压病  脉象信号  伪Wigner-Ville分布  时频特征  正常高值血压

A new method to extract time-frequency characteristics of hypertension pathological signal based on pseudo Wigner-Ville distribution
Zhang X,Zhang M,Du P.A new method to extract time-frequency characteristics of hypertension pathological signal based on pseudo Wigner-Ville distribution[J].Journal of Biomedical Engineering,2012,29(1):143-146.
Authors:Zhang Xun  Zhang Miaomiao  Du Panpan
Institution:Institute of Electronic Information, Hangzhou Dianzi University, Hangzhou 310018, China. zhxun@hdu.edu.cn
Abstract:Hypertension, as one of diseases with the highest incidence in the world at present, is an important cause of stroke, coronary heart disease, renal insufficiency and other serious diseases. Based on pseudo Wigner-Ville distribution, this paper makes an analysis on the relevant pulse characteristics by measuring time range of the energy concentration circle. In view of the present situation, that is, about half of the high-normal blood pressure persons are likely to develop hypertension, we explored the pulse characteristics to find the pathological changes in subjects with prehypertension, in order to solve the problems that there are no obvious clinical significant features in prehypertension. The results showed that the duration of high energy circle in signal with hypertension pathological changes was shorter than the duration of healthy signal. Hence, healthy signal and hypertension pathological signal can be effectively distinguished by this method, and this provides a new basis to identify the lesion signal when blood pressure is in critical period.
Keywords:Hypertension  Signal of pulse condition  Pseudo Wigner-Ville distribution  Characteristics of time-frequency domain  High-normal blood pressure
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