| Summary: | 碩士 === 國立臺灣大學 === 電信工程學研究所 === 90 === A phenomenon can be found which abnormal joint sound arises from knee joint disorder during knee motion in the clinical diagnosis. The knee joint could produce vibration signals during normal flexion extension motion, and the vibration arthrometry（VAM）could diagnose the disorders of the knee joint by analyzing these vibration signals. In this study we will apply VAM to the patients of the medial and lateral meniscus tear. Because VAM is a noninvasive diagnostic tool, it has great potential.
The main methods in the thesis we apply VAM to the vibration signals of the medial and lateral meniscus tear, utilizing autoregressive and cepstral to establish the mathematical model after adaptive segmentation, and try to find out the characteristic parameters of the vibration signals in these diseases. we have found that the vibration signal emitted by the knee joint under rapid motion can be used to separate the normal volunteers from the patients of the normal and medial、lateral meniscus.
In the contrast of medial、lateral meniscus tear and normal patients, we use the best frequency band search of the power spectral ratio of dominant poles. In this best frequency band, the one-way ANOVA between normal and medial、lateral meniscus tear patients has the most “F value”. In other words, the most difference of the normal and medial、lateral meniscus tear patients in this best frequency band.
Vibration arthrometry (VAM) provided a noninvasive, simple, and cheap clinic tool for diagnosing knee joints. Appropriate therapy can be given to the patients with correct diagnosis.
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