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《Journal of Clinical Stomatology》 1993-01
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Frepuency Component Analysis and Recognition of Occlusal Sounds Produced By Tap and Grinding of Subjects With Natureal Dentition

Shi Chunshan.  
Twenty normal subjects with intact and permanent dentitions were selected for sampling their occlusal sounds produced by centric tap and grinding. The sampled sounds were processed by autoregressive model, their power frequency spectra were established for analyzing the sound frequency components, and Bayes' discriminant functions built with the AR model coefficients were used to identify two sorts of occlusal sounds, it was found that the indices reflecting frequency features, such as cumulative power frequency, mean power frequency and spectral peak .frquency, were similar in two kinds of occlusal sounds; however, Bayes' iscrimination showed satisfactory recognition conformation rate 95% in total. The results indicate that pattern recognition using AR model has the prospect of identifying and diagnosing occlusal sounds in clinic.
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