腔室症候群發生的原因主要是因外傷骨折、壓砸傷、燒燙傷、動脈損傷與環狀石膏筒等情況引起。一旦發生可能須進行清創手術，更嚴重則將執行截肢甚至導致死亡。本研究主旨為設計一非侵入式壓力量測系統，以預防高風險患者發生腔室症候群之症狀。
本研究中，以IOS手機軟體應用程式來開發腔室壓力量測系統。受傷部位的各腔室壓力能透過非侵入式腔室壓力量測系統所量測，藉由結合所開發之App及置於受傷部位的撓性壓力感測器和所建立的有限元素分析模型。實驗選用與人體相似結構之豬隻前腿，以水注入豬腿腔室以達到腔室壓力上升狀況，透過撓性壓力感測器量取前腿外部的壓力，並經由專為豬前腿所建立之有限元素模型，以得知腔室壓力與感測器數值之間的關係。最後，比較實驗與模擬的結果並改善模擬模型。
動物模型之研究證實非侵入式壓力測量系統，可用於判斷患者的腔室壓力。這能幫助於醫生提前做預防性治療，以避免腔室症候群和相關併發症發生。

Compartment syndrome is mainly due to bone fracture, crushing injury, burns, arterial injury, annular gypsum cylinder…etc. Once it happens, debridement will be probably conducted and in the worst case, the patient will be amputated or even lead to death. To develop non-invasive compartment pressure measuring system for preventing patients who have a higher risk of compartment syndrome is the purpose of this study.
In this study, a dedicated IOS mobile app was developed for the compartment pressure measuring system. Combining the developed mobile app, flexible sensors arranged outside the injured area, and a developed finite element modelling, the compartment pressure in each compartment of injured area can be achieved by our non-invasive compartment pressure measuring system. Experiments were conducted on the pig foreleg, due to its similar structure to human leg. In our study water was injected into the compartments of pig foreleg to achieve the rising compartment pressure conditions. Then, the pressure distribution outside the foreleg was measured immediately by the flexible sensors. A finite element modelling dedicated to pig foreleg was also developed to know the relation between the compartment pressure and the measured pressure outside the leg. Finally, experiment and simulation results were compared in order to improve the developed simulation model.
The animal model study indicates our non-invasive compartment pressure measuring system is available to make reliable judgment of patient’s compartment pressure. It could be very helpful to allow physicians to do preventive treatment in advance to avoid compartment syndrome and related complications.

1. 翁宜吟、陳惠滿（2008）。一位腔室症候群年輕男性個案的護理經驗。志為護理-慈濟護理雜誌，7（5），120–128。
2. 陳姝娟、林美蓮（2013）。照護一位腿部創傷併發急性腔室症候群個案之護理經驗。志為護理-慈濟護理雜誌，12（2），102–111。
3. 陳妙娟、鄒綉菊、明勇（2008）。一位腔室症候群併發橫紋肌溶解症病患之護理經驗：病例報告。南臺灣醫學雜誌，4(3)，158–164。
4. 鄧允武、廖浩欽、藍秉文、朱海慶、江旺財、王少谷（2013）。骨科陷阱。台灣急診專科醫師期刊，5（2），28-38。
5. 顏大欽、邱方遙、陳全木（2000）。腔室症候群。臺北榮民總醫院臨床醫學月刊社，46（4），219-223。
6. 李輝煌(2005)。ANSYS 工程分析－基礎與觀念。台北: 高立圖書。
7. 林輝(1992)。豬解剖圖譜。北京：農業出版。
8. 張金堅、林芳郁(1999)。創傷急救手冊。台北: 金名圖書。
9. 劉晉奇、褚晴輝(2006)。有限元素分析與ANSYS的工程應用。台中市: 滄海書局。
10. 謝庭松(2012)。攔截程式碼：說出需求，幫你植入 iPhone Xcode。台北:佳魁資訊。
11. 魏奇肋(2014)。初探世界新語言・Swift。台北:佳魁資訊。
12. 人體下肢橫切面解剖圖(不詳)，取自http://www.hughston.com/　hha/a_17_2_1.htm
13. 王坤池(2004)。撓性壓力感測器“Flexiforce Sensor”介紹。取自元智大學，老人福祉科技研究中心http://designer.mech.yzu.edu.tw/　articlesystem/article/compressedfile/(2004-07-02)%20%E6%92%93%E6%80%A7%E5%A3%93%E5%8A%9B%E6%84%9F%E6%B8%AC%E5%99%A8%E2%80%9CFlexiforce%20Sensor%E2%80%9D%E4%BB%8B%E7%B4%B9.aspx?ArchID=658
14. 陳金恩(2009)。高壓氧治療於腔室症候群的應用。取自http://www.hbo.org.tw/download/paper-15.pdf
15. 陳芷鈴(2014)。「遊戲類 App 最夯！研調顯示三大平台下載量皆居冠」。取自數位時代網http://www.bnext.com.tw/article/view /id/31736
16. 遠紅外線醫療網(不詳)。取自http://www.far-infrared.info/faq/qa.aspx
17. 維基百科(2016)。Microsoft Visual Studio。取自https://zh.wikiped　ia.org/zh-tw/Microsoft_Visual_Studio
18. 維基百科(2016)。網際網路資訊服務。取自https://zh.wikipedia.org/　zh-tw/%E7%B6%B2%E9%9A%9B%E7%B6%B2%E8%B7%AF%E8%B3%87%E8%A8%8A%E6%9C%8D%E5%8B%99
19. 維基百科(2016)。Microsoft SQL Server。取自https://zh.wikipedi　a.org/wiki/Microsoft_SQL_Server
20. 豬隻分割部位圖(不詳)。取自http://img5.k68.cn/k68over2008-10/　106747/k68_cn_201011113210_01.gif
21. 鄭緯筌(2013)。「Gartner~2013行動應用商店年下載量突破1000億次」。取自數位時代網http://www.bnext.com.tw/article/view/id/ 29445
22. Larsen, M. H., Nielsen, H. T., and Wester, J. U., (2003) .Compartment syndrome of the lower part of the leg, exceptional trauma mechanism. Journal of the Ugeskrift for Laeger , 2751-2752.
23. McQueen, M. M., Gaston, P., and Court-Brown, C. M., (2000) .Acute compartment syndrome Who is at risk?.Journal of Bone and joint surgery , 82(2),200-203.
24. Ferre, M., Galiana, I. and Aracil, R.,(2011).Design of a Lightweight, Cost Effective Thimble-Like Sensor for Haptic Applications Based on Contact Force Sensors, Journal of the Sensors , 11945-11509.
25. Martin, F. P., Satsue, H., Duncan, B., (2000).Evaluation of a sensor for low interface pressure applications, Journal of the Medical Engineering & Physics , 22, 657–663.
26. Whitesides, T. E., Heckman, M. M.,(1996).Acute compartment syndrome: Update on diagnosis and treatment, Journal of the American Academy of Orthopaedic Surgeons , 4(4), 209-218.
27. Wiemann, J. M., Ueno, T., Leek, B. T., Yost, W. T., Schwartz, A. K.,& Hargens, A. R., (2006).Noninvasive measurements of intramuscular pressure using pulsed phase-locked loop ultrasound for detecting compartment syndromes: A preliminary report , Journal of Orthopaedic Trauma , 20(7), 458-463.
28. Martin, F.P. , Satsue, H.,& Duncan, B. (2000) .Evaluation of a sensor for low interface pressure applications.Medical Engineering & Physics ,22 ,657–663
29. Carla, S., Piero, P., &Paola, P.(2014).Investigation of the mechanical properties of the human crural fascia and their possible clinical implications.Surg Radiol Anat,25–32
30. Jason, T. C., Ming, Z., Aaron, K. L.,& Yu, B. F. (2005).Three- dimensional finite element analysis of the foot during standing—a material sensitivity study. Journal of Biomechanics ,38 ,1045–1054
31. Xavier, M., Anders, S.,& Nicolas, P. (2009).A subject-specific software solution for the modeling and the visualization of muscles deformations. Vis Comput,25,835–842
32. Vandad, N.(2014).iOS 8 Swift Programming Cookbook. California: O'Reilly Media.