QIU Tianshuang   

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Paper Publications

Title of Paper:基于多重分形的膝关节摆动信号特征提取与分类

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Date of Publication:2017-03-25

Journal:信号处理

Included Journals:CSCD

Volume:33

Issue:3

Page Number:383-388

ISSN No.:1003-0530

Key Words:膝关节摆动信号;多重分形;时频信息熵;支持向量机

Abstract:膝关节摆动(VAG)信号是膝关节在屈伸活动时由于接触摩擦所产生的振动,它能够反映髌骨软化症、半月板损伤和交叉韧带损伤等膝关节损伤疾病的特征与状态,正逐步得到临床医学的重视.本文依据多重分形去趋势波动方法,定量分析了正常和异常VAG信号的特性,提取了分形标度指数、多重分形谱极值点、广义分形维数和时频信息熵值等特征信息,并采用支持向量机对正常和异常VAG信号进行分类,得到较高的分类准确率,对于膝关节损伤疾病的无创检测和辅助诊断具有重要意义.

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