Mascaro B, Prior J, Shark L-K, Selfe J, Cole P, Goodacre J
Applied Digital Signal and Image Processing Research Centre, School of Computing, Engineering and Physical Sciences, University of Central Lancashire, Preston, Lancashire PR1 2HE, United Kingdom.
Med Eng Phys. 2009 Oct;31(8):1013-22. doi: 10.1016/j.medengphy.2009.06.007. Epub 2009 Jul 29.
The paper presents the development of a new measurement system based on acoustic emission (AE) for assessing the dynamic integrity of knee joints, and the evaluation of its efficacy, through an exploratory study using healthy and osteoarthritic knees. For the former, the paper describes the system implemented to acquire joint angle-based AE and the protocol developed to obtain repeatable results. For the latter, the paper reports significant differences between healthy and osteoarthritic knees using statistical analysis of AE occurrence and distribution of AE features in different movement phases. Osteoarthritic knees are found to produce 6-10 times more acoustic emissions than healthy knees, with amplitudes which can be 20 dB higher, and durations which can be 10 times longer. These findings lead to a visual representation method of AE feature profiles based on multidimensional density of AE hits per repeated movement and the use of principal component analysis for objective assessment of the clinical status of knee joints.
本文介绍了一种基于声发射（AE）的用于评估膝关节动态完整性的新型测量系统的开发，以及通过对健康膝关节和骨关节炎膝关节进行探索性研究对其有效性的评估。对于前者，本文描述了为获取基于关节角度的声发射而实施的系统以及为获得可重复结果而制定的方案。对于后者，本文通过对不同运动阶段声发射发生情况和声发射特征分布进行统计分析，报告了健康膝关节和骨关节炎膝关节之间的显著差异。研究发现，骨关节炎膝关节产生的声发射比健康膝关节多6至10倍，其幅度可高出20分贝，持续时间可长10倍。这些发现促成了一种基于每次重复运动的声发射命中多维密度的声发射特征轮廓可视化表示方法，以及使用主成分分析对膝关节临床状态进行客观评估。
