臺灣博碩士論文加值系統

人體的關節就如同機器一般，過度使用或不當使用都容易造成功能的損壞，尤其是顳顎關節，不但是控制口腔張合動作的重要關節，對進食和說話功能都有重大的影響，同時也是一般人容易因為缺乏保養而受傷退化的關節。本論文藉由台大醫院顳顎關節特別門診的幫忙，提供我們許多受測者的信號樣本以及不少寶貴的資料與專業知識，希望對顳顎關節聽診的技術有所了解和幫助。本論文配合自迴歸模型 (autoregressive model) 及可適性區段 (adaptive segmentation) 等信號處理技術，分析我們得到的受測者信號。以簡單非侵入性的量測方式，更進一步了解患者顳顎關節內部情形。
本研究討論的主題主要在於退化性關節炎初期患者和退化性關節炎後期患者間的異同，分析的對象共有左側退化性關節炎患者32名；右側退化性關節炎患者23名，皆經過臨床主治醫師的診斷來分類。比較各特徵參數，並使用one-way ANOVA統計分析來判別各群組的差異性。經過信號處理的技巧，已成功找出一些特徵參數如：平均內部群組距離、主極點功率比在200Hz以上之頻帶已經可以達到非常不錯的區分效果。

The joint of the human body is like the machine. It is apt to cause the damage of the function when use excessively or inappropriately, especially to Temporomandibular joint. It controls the movement of mouth, and has a great influence of eating and speaking. But common people are apt to be injured the joint degradating because of lacking maintaining. In this thesis, we cooperated with National Taiwan University Hospital. They provided TMJ patients and many valuable knowledge for us in order to construct an expert system for TMJ diagnosis by sound signals. We adopted autoregressive model and adaptive segmentation to analysis these signals. Examine the way with simple invading quantity, go still one step further to understand the situation within the patient''s Temporomandibular joint.
We focus our research on finding the difference between the early periods of TMJ arthritis patients and the later ones. Among the target of analyzing, we got 32 TMJ arthritis patients of left side; 23 TMJ arthritis patients of right side, all classified by the clinical attending doctor’s diagnosis. We also used the one-way ANOVA analysis to test all the characteristic values we used. We could find some useful variables by signal processing technologies. Variable like average intraclass distance and spectral power ratio of dominant poles at 200Hz above can already reach very good differentiation result.

第一章 緒論………………………………………………………1
1.1 研究背景……………………………………………………1
1.2 研究動機與目的……………………………………………3
1.3 相關文獻研究………………………………………………4
1.4 本論文組織架構……………………………………………6
第二章 顳顎關節構造及顳顎關節退化病理現象………………7
2.1 人體顳顎關節解剖構造及生理特性………………………7
2.2 顳顎關節退化性關節炎……………………………………10
第三章 實驗方法與演算法………………………………………18
3.1 導論…………………………………………………………18
3.1.1 研究對象………………………………………………18
3.1.2 實驗設備………………………………………………19
3.1.3 實驗方法………………………………………………21
3.2 信號處理與演算法…………………………………………22
3.2.1 導論……………………………………………………22
3.2.2 自回歸模型……………………………………………23
3.2.3 可適性區段……………………………………………31
3.3 特徵參數……………………………………………………33
3.3.1 根均方值………………………………………………33
3.3.2 內部群組距離…………………………………………34
3.3.3 主極點功率比…………………………………………35
3.4 單方變異數分析……………………………………………35

第四章 初期退化性關節炎患者對後期退化性關節炎患者TMJ
信號之分析…………………………………………………38
4.1 導論…………………………………………………………38
4.2 特徵參數……………………………………………………39
4.3 自回歸模型分析……………………………………………45
第五章 綜合討論與未來展望……………………………………85
參考文獻………………………………………………………………88

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