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利用多传感信息集成系统,以两组平均年龄对应的受试对象往复运动过程中获取的动态声发射信号和角度信号为对象,研究了适用于较小样本的动态声发射信号多元统计分析技术。通过同步记录的角度信号,将往复运动分解为若干个独立运动周期和运动过程;利用累计概率分布,选取具备较显著差异的特征;结合多元统计技术,减小数据量,建立动态声发射信号的可视化模型,证实了使用较小样本声发射信号实现膝盖骨关节诊断的可行性。
Using multisensor information integration system, dynamic acoustic emission signals and angular signals obtained from reciprocation of two groups of subjects with average age were studied. Multivariate statistical analysis techniques for dynamic acoustic emission signals . By means of synchronously recorded angle signals, the reciprocating motion is decomposed into several independent motion cycles and motion processes. By using the cumulative probability distribution, features with significant differences are selected. Combined with multivariate statistical techniques, the amount of data is reduced and a dynamic acoustic emission signal is established Visualization model, confirmed the feasibility of using smaller sample acoustic emission signal to achieve knee joint diagnosis.