臺灣博碩士論文加值系統

傳統中醫把脈為補充及替代醫療當中，極代表性的全身性診斷方式之一。本研究提出一考量阻抗資訊的脈象量測系統，從中醫脈診的角度來增加脈象量測的完整性與多樣性，能夠非常有效率對脈象進行量測；所設計系統含以應變規為基礎的脈搏力量感測器、訊號處理電路、仿手指下壓機構及具人機介面之資料擷取系統。所量得之原始脈搏信號經由電腦即時顯示並進行處存；在經由後續處理以便分析脈象。本研究採用平均脈搏計算法取得能夠代表量測區間所有資料的單一脈搏波形；計算流程包含零相位濾波以去除漂移基線與電子雜訊，並且利用三次樣條插值法效正基線，藉此脈搏訊號處理流程達更加全面的脈象波形計算。本研究另一大重點為採用多組加瑪機率密度曲線進行平均脈博波形擬合，取得波形方程式；並利用計算之量測區間內平均脈搏力量大小，配合量測切層深度進行多項式擬合，推導出脈象的阻抗方程式。最後藉由上述兩方程式可以完整的建立起脈象模型。本實驗設計三組不同的人體刺激方式產生欲探討脈象並進行脈象量測，分別利用大量水分的攝取、咖啡攝取、劇烈有氧運動三種不同的外界干擾來刺激受試者產生不同種類的脈象。實驗結果證實吾人所開發之脈象量測系統具有高重複性、可靠性等特點；更加重要的為利用本實驗系統及演算法能夠成功建立脈象的模型，而此方式亦可用於日後脈象資料儲存與維護。

Palpation is one of the fundamentals in Traditional Chinese Medicine (TCM). In recent years, plenty researches on this high efficiency holistic health diagnosis method has been conducted. In this paper, a robust pulse measurement system is presented, which is capable of following suit of TCM doctors performing palpation on patient. Our system is comprised of strain gauge based pulse force sensing unit, signal processing circuit which contains amplification and filter, data acquisition system and user interface. The pulse data are recorded for real-time signal display and post-processing. This paper adopt an average waveform calculation technique for retrieving a representative single pulse waveform to avoid subjective error. With the measured pressing depth and force, this paper considers the effects of pulse impedance and takes it as an auxiliary performance index to enhance evaluation of pulse waveforms from a TCM perspective. This paper aim to provide an advance approach to preserve pulse pattern in exceptional precision. By using gamma probability density function to correlate pulse waveform and the retrieved pulse impedance information to create the pulse pattern model. Further, we designed experiments that uses three types of external stimulation on human to generate different pulse pattern for measurement. The results verify the purposed system and pulse pattern modelling method has high reproducibility and effectiveness for various patterns.

摘要
Abstract
致謝
第一章 緒論
1.1 前言
1.2 文獻回顧與研究動機
1.3 本文貢獻與架構
第二章 系統設備架構
2.1 個人電腦
2.2 Arduino 控制板
2.3 人機介面
2.4 按壓位移機構
2.5 馬達控制器與驅動器
2.6 力量感測器
2.7 力量感測器訊號處理電路
2.8 電源供應器
第三章 脈象量測訊號後處理
3.1 基線偏移去除與數位濾波
3.2 波形校正
3.3 資料處理流程測試
3.4 平均脈搏波形計算
第四章 脈象模型推導與判別
4.1 脈搏波形方程式推導
4.2 脈象阻抗量測
4.3 脈象模型方程式
4.4 脈象判別
4.5 脈搏阻抗與浮、沉脈定義
第五章 實驗結果與討論
5.1 系統脈象量測驗證
5.2 實驗一:平脈的定義與量測
5.3 外界刺激產生脈象
5.3.1 實驗二:大量水分攝取
5.3.2 實驗三:咖啡因攝取
5.3.3 實驗三:劇烈有氧運動
5.4 實驗結論
第六章 結論與未來目標
6.1 結論
6.2 未來研究目標
參考文獻
附錄

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