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研究生:黃俊豪
研究生(外文):Jiun-Hau Huang
論文名稱:氣流量、壓力及容積等迴圈函數與呼吸特性參數之關係
論文名稱(外文):The Study of Loop Functions and Respiratory Mechanics Parameters
指導教授:林賢龍林賢龍引用關係
指導教授(外文):Shyan-Lung Lin
學位類別:碩士
校院名稱:逢甲大學
系所名稱:自動控制工程所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2002
畢業學年度:90
語文別:中文
論文頁數:90
中文關鍵詞:壓力容積呼吸特性參數氣流量迴圈函數
外文關鍵詞:Respiratory Mechanics ParametersLoop Functions
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在「人體呼吸控制模擬機構」研究之中,已由MATLAB®的平台轉移到更具有擴充性的LabVIEW®模擬環境,並加入具有「最佳化控制器」與「類神經網路控制器」的呼吸控制模擬器,讓後來從事人體呼吸模擬的人員,擁有非常便利的模擬工具。
本論文有鑑於現今臨床呼吸監測系統機制的推陳出新,於是參考臨床文獻報告當中,常常被用來討論的迴圈函數來作為本論文探討的重點所在,以結合臨床上的應用。迴圈函數是由壓力、容積、氣流量等三個呼吸特性參數兩兩配對所組成,而迴圈函數所顯示的生理參數、波形,更是呼吸治療師作為即時判斷的重要工具,不管是病狀的發現、用藥的成效、通氣模式的選擇或本身醫療儀器的錯誤,皆可以透過迴圈函數所透露出的資訊來做預防以及治療。
本論文之系統模擬主要架構於「最佳機化呼吸控制系統」與先前提出的模擬程序,並裝置在以LabVIEW®為平台的「呼吸控制模擬器」中,來模擬出被動吐氣模式、主動吐氣模式的模擬結果,再利用GM350來擷取壓力、容積及氣流量訊號,透過繪圖軟體GrapherTM 3繪製迴圈函數圖形最後將被動吐氣模式、主動吐氣模式模擬結果,與最佳化送氣裝置量測結果與呼吸臨床結果來比對。比較結果顯示主動吐氣模式的壓力-容積迴圈函數在增加阻抗與肺順應性下表現較其他兩者佳,而被動吐氣模式的容積-氣流量迴圈函數在增加阻抗與肺順應性下表現較其他兩者佳。
Based on the Optimal Chemical-mechanical Model under studied, the MATLAB® station has been transferred to the simulate conditions of LabVIEW® which is expansive, and join Optimal Respiratory Control and Neural-muscle drive to Optimal Chemical-mechanical Respiratory Control System. Then we can give the members who work in the field of respiratory simulation a very convenient tool.
This study is in view of the fast change of clinical automated monitoring of respiratory mechanics system, so the main object of this study is to discuss loop function and combine it to clinical applications. Loop function is formed with the pairs of pressure, volume, and flow. The physiological parameters and waveforms which are performed loop function can give R.T. an important tool of real-time judgement. No matter the discover of symptoms, efficiency of medicine, the options of ventilation modes, or the errors of medical instruments can be formed by the information which is from loop function.
The LabVIEW® based “Respiratory Control Simulator” are utilized on the basis of previously implemented simulation procedure. The simulation results of passive mode and active mode were compared with clinical results, and the comparison between the measurement from ventilation device and clinical results are also made. The pressure-volume loop of active mode is more efficiently than passive mode and that from ventilation device. On the other hand, the performance of passive mode shows better results than the other in volume-flow loop.
感謝ii
中文摘要iii
Abstractiv
目錄v
圖目錄ix
表目錄xii
符號說明xiii
第一章 緒論1
1.1緒論1
1.2研究目的2
1.3國內外相關文獻3
1.3.1迴圈函數的應用3
1.3.1.1文獻[8]之硬體部分4
1.3.1.2文獻[8]之軟體部分5
1.3.2迴圈函數的數學模型8
1.3.2.1 壓力控制模式(PCV,Pressure Control Ventilation Mode)8
1.3.2.2 容積控制模式(VCV,Volume Control Ventilation Mode)11
1.4論文架構14
第二章 迴圈函數的臨床應用15
2.1迴圈函數的定義(Loop Function)15
2.1.1壓力-容積迴圈函數(Pressure-Volume Loop Function)15
2.1.2容積-氣流量迴圈函數(Volume-Flow Loop Function)16
2.2自發性呼吸下之迴圈函數19
2.3主動呼氣下之迴圈函數20
2.4機械通氣模式對迴圈函數的影響21
2.4.1壓力控制通氣模式(Pressure Control Ventilation, PCV)21
2.4.2壓力支持通氣模式(Pressure Support Ventilation, PSV)22
2.4.3持續氣道正壓模式(Continuous Positive Airway Pressure, CPAP)24
2.5流速形態設定對迴圈函數的影響25
2.5.1流速形態設定為正弦波(sinusoidal flow pattern)25
2.5.2流速形態設定為方波(square wave flow pattern)26
2.6 呼吸機械特性變化對迴圈函數的影響27
2.6.1 IRL(Inspiratory Resistive Loading)27
2.6.2 ERL(Expiratory Resistive Loading)29
2.6.3 CRL(Continuous Resistive Loading)30
2.6.4肺順應性變化32
2.7迴圈函數與呼吸功33
2.8迴圈函數之臨床症狀35
第三章 控制架構與模擬環境38
3.1控制架構38
3.1.1受控體 (Gas Exchanger)39
3.1.2回授路徑(Feedback Paths and Peripheral Chemoreceptor)39
3.1.3神經-機械反應器(Neuro-Mechanical Effector)40
3.1.3.1被動吐氣模式(passive mode)40
3.1.3.2主動吐氣模式(active mode)42
3.1.4控制器(Controller)43
3.1.4.1動態呼吸機械特性方程式44
3.1.4.2呼吸範型參數45
3.2人體呼吸模擬程序47
3.3被動吐氣模式模擬環境48
3.3.1被動吐氣模式主面版49
3.3.2被動吐氣模式輸入面版(input)50
3.3.3被動吐氣模式執行最佳化(Controller-Optimization)51
3.3.4被動吐氣模式輸出面版(Current Simulation)52
3.3.5被動吐氣模式迴圈函數輸出面版(Loop Function Panel)53
3.4主動吐氣模式模擬環境54
3.4.1主動吐氣模式主面版55
3.4.2主動吐氣模式輸入面板(Input)56
3.4.3主動吐氣模式最佳化設定執行面版(Optimization)57
3.4.4主動吐氣模式輸出面板(Output Listing)58
3.5送氣裝置硬體架構59
第四章 被動吐氣模式模擬結果60
4.1 IRL(Inspiratory Resistive Loading)60
4.2 ERL(Expiratory Resistive Loading)62
4.3 CRL(Continuous Resistive Loading)64
4.4肺順應性變化與迴圈函數65
第五章 被動吐氣模式與主動吐氣模式模擬結果之比較68
5.1 IRL(Inspiratory Resistive Loading)68
5.2 ERL(Expiratory Resistive Loading)70
5.3 CRL(Continuous Resistive Loading)72
5.4肺順應性變化與迴圈函數74
第六章 最佳化送氣裝置與迴圈函數量測實驗77
6.1 IRL(Inspiratory Resistive Loading)77
6.2 ERL(Expiratory Resistive Loading)79
6.3 CRL(Continuous Resistive Loading)81
6.4順應性變化與迴圈函數83
第七章 結論與討論86
7.1以類神經演算法模擬87
7.2配合送氣裝置通氣模式與環境設定來模擬87
參考文獻88
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