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研究生:錢嘉宏
研究生(外文):Chien,Jia Hung
論文名稱:中醫診脈輔助系統
論文名稱(外文):Computer-Aided System for Chinese Medicine Pulse Diagnosis
指導教授:---
指導教授(外文):Ching Sung
學位類別:碩士
校院名稱:中原大學
系所名稱:醫學工程學系
學門:工程學門
學類:綜合工程學類
論文種類:學術論文
論文出版年:1995
畢業學年度:83
語文別:中文
論文頁數:93
中文關鍵詞:中醫診脈電腦輔助圖形辨識
外文關鍵詞:Chinese medicinePulse diagnosisComputer-aidedPattern
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本研究係發展一套中醫診脈電腦輔助系統以提供中醫師在把脈上,診斷與
研究的輔助工具。而在本系統中由五項模組所構成的,其分為 (1)病患資
料管理系統 (2)脈波與心電圖訊號擷取系統 (3)脈波訊號分析系統 (
4)脈波訊號辨識系統 (5)脈診資料庫系統。借由這套系統我們期望能對中
醫脈診做更客觀詳實的診斷與研究,揭開以往中醫把脈的的神祕面紗。另
外透過與中國醫藥學院的合作,廣泛的收集各種脈象的脈波建立一完備資
料庫,再藉由圖形識別的技巧使本系統對臨床診得的脈波有自動辨識的能
力,以協助中醫師在脈象的診斷,這也是本系統最終努力的目標。在測試
結果方面,我們以形為主要評估的脈象,並輔以可直接量化歸類之勢、位
、數、律所組成的脈象。由報告統計得知:在18例正常脈象有 16例辨識
無誤,在 8例弦脈中有7例辨識正確,在 3例澀脈中有2例正確,在 7例滑
脈中有 6例辨識正確,以及在 11例弦澀脈中有9例正確,總體而言成功率
有八成以上,而在二十八脈中本系統可辨識的脈象有浮、沉、遲、緩、數
、疾、促、結、濡、弱、澀、弦、滑等以及其相關的複合脈。而在其它未
能辨識之脈象主要原因有1.樣本取得不易 2.無客觀標準的依據3.超出硬
體能力所及 (如長短脈須三指同時量測才能得知,而本系統只作單指單點
的量測,因此無法測得此類脈象 )。故此後續對波形的收集與標準的訂定
將是研究重點方向,待有朝一日其波形的訂定能如心電圖譜一樣明確時,
自動辨識的結果才會更有意義與完備。
The research was to develop a computer-aided system for pulse
diagnosis in Chinese medicine. The system is composed of five
modes : 1) patient data management mode 2) pulse and ECG s-
ignals acquisition mode 3) pulse signal analysis mode 4) pulse
signal recognition mode 5) pulse diagnosis database. With this
system the pulse diagnosis can be more scientific and objective
than that with Chinese doctor''s finger tips. In the results,
ma- inly pulse attribute that consists of "pulse shape" was In
addition, pulse attributes consisting of "pulse strength" and
"pulse position" and "pulse rate" and "pulse regularity", were
directly estimated from the quantitative values which reach to
certain levels. In the study, there was 16/18 correctness for
"normal pulse" in pattern recognition, 7/8 correctness for
"string pulse", 2/3 correctness for "rough pulse", 6/7
correctness for "sliding ", and 9/11 correctness for "string-
rough pulse," the total ectness is about 80%. In the system, we
can recognize "float pulse", "profundity ulse", "tardy pulse",
"soon pulse", "scud pulse", rity pulse","slow-unreqularity
pulse", "weak pulse", "soft , "rough pulse", "string pulse",
"sliding pulse" and the complex pulses about them . In the
system, some pulse attributes could not be that for the reasons
as follows: (1).To get some special pulse attribute samples is
not easy. (2).Some pulse attributes have not standard rules to
recognize. (3).Some pulse attributes must detect with three
finger tips,but the system hardware uses one finger tip mold(
one sensor) to Thereafter, the collections of pulse waves and
the definitions pulse recognizable standards will be the most
work in the future research. If the pulse diagnosis was precise
definition as ECG the auto recognition of pulse wave will be
more efficient and
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