Research On The Classic Tactics Of Virtual Chinese Medicine Bone-setting

Object: By using of the virtual reality technology to construct the platform, whichcould collect the Classic tactics of Virtual Chinese Medicine Bone-setting, it converts theabstract bone setting process to a visual signal. Combined with the pattern recognitiontechnology, the tactics which we have taken can be classification identification. Bydeveloping the more accurate and scientific approach metrics, it provide accurate referencefor the clinical treatment practices, improve the success rate in the medical process andhelp for learning and training of clinical interns at the same time.Methods:1.On the basis of Labview software, we Build the platform for collectingthe Classic tactics of Virtual Chinese Medicine Bone-setting;2. As Pattern recognition theory as a guide, we extract the features of thesignal collected by the theory of wavelet transform;3. By using BP neural network algorithm, we should classify the signalwith others.Results:1.We can collect the classic tactics of Virtual Chinese Medicine Bone-settingand achieve higher precision and accuracy.2. By the theory of wavelet transform, we can extract the features of thesignal collected, initial realization of the classification and identification of the signal.Conclusion: It have achieved that we can collect the signal of virtual Chinesemedicine bone-setting. The method that using wavelet transform to get the feature havebeen confirmed completely workable. Through neural network algorithm to classify thesignal with others is feasible. The experiment open a new direction for the learning and transfer of Chinese medicine bone-setting. There are still some imperfections in themethods of the experiment, for example, the feature extraction process can be moreconcise, the recognition accuracy rate can be higher.