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博碩士論文 etd-0603117-233841 詳細資訊
Title page for etd-0603117-233841
論文名稱
Title
建構正常人中醫證型舌象資料庫暨特定疾病之中醫舌診指標
Establish the TCM tongue diagnosis database of healthy persons and the TCM indices of tongue diagnosis for specific diseases
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
54
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2017-06-27
繳交日期
Date of Submission
2017-07-05
關鍵字
Keywords
自動化舌診系統、體質證型、統計分析、資料庫、糖尿病
Database, Diabetes, ATDS, Constitution syndromes, Statistical Analysis
統計
Statistics
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中文摘要
中醫診斷精髓在於辨證論治,透過望、聞、問、切四診進行辨證,並綜合四診診斷結果推斷患者身體狀況或病症,其中四診之首為望診,而舌診又為望診中重要項目,臨床上中醫師透過觀察舌形可瞭解人體臟腑虛實,但診斷結果因主觀因素與個人臨床經驗不同,相同舌形於不同中醫師可能產生判讀差異,此情形不僅影響辨證,亦可能於傳承上觀念想法不同使差異逐漸擴大。如今電腦蓬勃發展,中醫舌診結合現代電腦資訊邁向現代化,透過科學及數據化方式輔助醫師診斷。本研究所使用之自動化舌診系統(ATDS)即為結合現代電腦資訊與傳統中醫舌診,透過科學方法研發具標準化判別程序之系統,提升診斷結果之一致性與可靠性,便於醫師對症下藥及傳承中醫舌診知識,且由於雲端系統快速發展,舌面資訊分析後可儲存於雲端並建立舌診資料庫,以利日後研究特定疾病時之統計比對。
常人中醫證型舌象資料庫與不同證型之舌象研究為一基礎且重要之課題,因中醫診斷強調整體調理而非針對單一疾病,對特定疾病缺乏客觀評斷,而若要分析特定疾病之中醫舌診指標均需與常人舌象進行比較,因此本研究利用舌部影像、中醫體質及健檢資料進行分析比對,舌面分析資料與健檢資料特定項目進行統計分析尋找其中顯著性差異特徵,以供後續特定疾病之比對,進而確立中醫對特定疾病客觀評估模式,;體質資料與舌診資料進行分析比對尋找顯著性差異特徵,判斷舌診資訊與體質資料之關聯性;體質資料與健檢資料進行統計分析比對尋找顯著性差異特徵,提供醫師於臨床診斷上之參考。
Abstract
The diagnosis of Traditional Chinese Medicine methods is generally based on four standard approaches, inquiry, smelling/listening, observation, and palpation. During the process of observation, the diagnosis of the tongue is one of the crucial diagnosing steps. Chinese medicine practitioners can understand the organs’ situation through the observation of the tongue, but the diagnosis of subjective factors and personal clinical experience is different from the same tongue in different Chinese medicine practitioners may produce differences in interpretation. This situation not only affect the dialectical, but also because of different ideas lead to different results. Now the computer advance is progressing rapidly, the traditional Chinese medicine tongue diagnosis combined with modern computer information towards modernization, through scientific and data way to assist physician diagnosis. The automatic tongue diagnosis system (ATDS) used in this study is a combination of modern computer information and traditional Chinese medicine tongue diagnosis, develop a system of standardized discriminatory procedures through scientific methods to improve the consistency and reliability of diagnostic results. To facilitate the doctor on the right medicine and inheritance knowledge of traditional Chinese medicine tongue, and because of the rapid development of cloud system, tongue information can be stored in the cloud and the establishment of the tongue database to facilitate statistical comparison of specific disease in the future.
The study of tongue database of normal people and different syndromes is a basic and important subject. Because traditional Chinese medicine emphasizes the overall conditioning rather than the single disease, the lack of objective judgment of the specific disease. And to analyze the specific disease of the tongue index have to be compared with the normal people’s tongue, so this study using the tongue image, Chinese medicine constitution and health examination data to analyze and compare. Analyzing tongue data and specific items in health examination data to find the significance of the difference for the analysis of specific disease in the future, and then establish the objective assessment of specific diseases of traditional Chinese medicine model; Analyzing constitution data and tongue data to find the significance of the difference, to determine the relationship between tongue data and constitution data; Analyzing constitution data and health examination data to find the significance of the difference, to provide practitioners the reference of diagnosis.
目次 Table of Contents
學位論文審定書 i
誌謝 ii
中文摘要 iii
英文摘要 iv
第一章 緒論 1
1.1 中醫舌診辯證論治 2
1.2 自動化舌診系統 3
1.3 中醫體質證型問卷 6
第二章 相關研究 8
2.1 色彩模型 8
2.1.1 RGB色彩模型 8
2.1.2 HSI 色彩模型 9
2.2 統計模型 11
2.2.1 Levene同質性檢定(Levene Test) 11
2.2.2 獨立樣本T檢定(Independent-Sample T Test) 11
2.2.3 變異數分析(Analysis of Variance, ANOVA) 12
2.2.4 平均值等式穩健測試(Robust Test of Equality of Means) 13
2.2.5 交叉分析卡方檢定(Chi-squared Test, χ2) 14
2.2.6 AUC(Area under curve) 14
2.3 多元迴歸分析(Multiple regression analysis) 15
2.3.1 最小平方法(least square method) 15
2.3.2 多元迴歸模型檢驗 16
2.3.3 自變項篩選 19
第三章 研究方法 20
3.1 研究架構 20
3.2 資料收集 20
3.2.1 健檢資料 20
3.2.2 舌部影像 21
3.2.3 體質資料 22
3.3 自動化舌診系統 22
3.3.1 色彩校正 23
3.3.2 舌頭區域擷取 23
3.3.3 特徵分析 24
3.3.4 拍攝姿勢 25
3.4 統計分析 26
3.4.1 舌診資料與健檢資料之分析 26
3.4.2 舌診資料與體質證型之分析 27
3.4.3 健檢資料與體質證型之分析 29
第四章 研究結果 30
4.1 舌診資料與健檢資料之分析 30
4.1.1 常人與糖尿病前期 30
4.1.2 常人與糖尿病 32
4.1.3 常人與中風患者 33
4.2 舌診資料與體質證型之分析 34
4.3 健檢資料與體質證型之分析 36
第五章 結論 38
第六章 參考文獻 40
附件 42
附件一、中醫體質證型問卷 42
參考文獻 References
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