Identification of abnormal knee joint vibroarthrographic signals based on fluctuation features

著录项

• 来源
  《International Conference on BioMedical Engineering and Informatics》|2014年||共5页
• 会议地点
• 作者

  Xin Luo; Pinnan Chen; Shanshan Yang; Meihong Wu; Yunfeng Wu;

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• 作者单位

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• 会议组织
• 原文格式 PDF
• 正文语种
• 中图分类 生物医学工程;
• 关键词

  Bayes methods; biological tissues; decision trees; feature extraction; fluctuations; medical disorders; medical signal processing; oscillations; patient diagnosis; signal classification; statistical analysis; vibrations; Bayesian decision rule; CV of envelope energy value; Kolmogorov-Smirnov test; VAG signal characterization; abnormal knee joint vibroarthrographic signal identification; classification experiment; coefficient of variation; fixed threshold; fluctuation feature; intrinsic oscillation characterization; knee joint VAG signal processing; overall classification accuracy; pathological VAG signal; pattern classification; sensitivity value; signal turn count threshold; specificity value; variation feature extraction; Bayes methods; Feature extraction; Joints; Knee; Pathology; Support vector machines; Vibrations;

  机译：贝叶斯方法;生物组织;决策树;特征提取;波动;医学障碍;医学信号处理;振荡;患者诊断;信号分类;统计分析;振动;跳跃能量值;Kolmogorov-smirnov测试;vag 信号表征;分类实验;分类实验;变异系数;固定阈值;波动特征;内在振荡表征;膝关节晶发信号处理;整体分类精度;图案分类;敏感性值;信号转数 阈值;特异性值;变异特征提取;贝叶斯方法;特征提取;关节;膝盖;病理;支持矢量机;振动;