Since the incidence of knee osteoarthritis (OA) is high, and the conventional diagnostic methods are non portable, expensive and radiation damage etc.This paper proposes a diagnosis method of knee OA, which based on genetic algorithm to optimize the BP neural network. The proposed method takes the healthy group and disease group as the research object, and then makes use of the collected acoustic emission (AE) signal through genetic algorithm optimal BP network to obtain initial weights and threshold values, the BP neural network is used to classify the AE signals. The results of experimental knee OA acoustic emission database established by the laboratory show that the diagnostic method has well effect, small error, clinical value and to be able to real time detection and early prediction of knee OA patients.
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余成波,田引黎,代琪怡,赵西超,晏绍奎.声发射信号诊断的膝盖骨性关节炎[J].压电与声光,2014,36(2):302-305. YU Chengbo, TIAN Yinli, DAI Qiyi, ZHAO Xichao, YAN Shaokui. Acoustic Emission Signals in the Diagnosis of Knee Osteoarthritis[J]. PIEZOELECTRICS AND ACOUSTOOPTICS