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Title:: Noninvasive detection and auxiliary diagnosis of knee injury lesions ?based on vibroarthrographic signal analysis

作者:: 徐一平1; 邱天爽1△; 刘宇鹏2; 1.大连理工大学电子信息与电气工程学部，大连 116024；2.大连大学附属中山医院，大连 116001

Author(s):: XU Yiping1; QIU Tianshuang1; LIU Yupeng2; 1.Faculty of Electronic Information and Electrical Engineering，Dalian University of Technology，Dalian 116024，China; 2.Zhongshan Hospital, Dalian University，Dalian 116024

Keywords:: Vibroarthrographic signal; Time frequency analysis; Classifier; Stastical analysis; Nonlinear analysis

摘要:: 膝关节摆动（VAG）信号是膝关节在做屈伸运动时由于接触摩擦产生的振动信号，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。本研究分析了国内外文献对膝关节摆动信号的研究方法，包括信号的预处理方法、特征提取方法和分类方法几个方面。无创膝关节摆动信号的检测与分析，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，正逐步得到临床医学的重视。最后分析了对于膝关节摆动信号研究还需要解决的问题以及未来的发展方向。

Abstract:: The vibroarthrographic (VAG) signal is the vibration and contact friction generated by the knee joint during flexion and extension. It reflects the characteristics and status of chondromalacia, meniscal tears and ruptured ligament and other diseases. In this paper, research methods of vibroarthrographic signal analysis are analyzed and summarized, including signal preprocessing methods, feature extraction methods and classification methods. Such a noninvasive vibroarthrographic signal detection and analysis method is very important for noninvasive detection and auxiliary diagnosis of knee joint injury, and it is gradually getting the attention of clinical medicine.Finally, the problems to be solved and development direction on VAG signal analysis and its applications are analyzed.