本研究成功開發出具有線性度、穩定度之可於開放環境中使用的居家健檢系統，利用免疫反應呈色作為檢測標的並以本系統量化其結果。本研究中使用所開發之應用程式與伺服器連接、拍攝免疫反應呈色結果與本研究所開發的比色板並上傳至伺服器以達到雲端運算的功能，並接收運算結果存入應用程式中的資料庫記錄日期與濃度，以供使用者未來瀏覽使用。為確認本研究所開發的居家健檢系統能於不同偏光環境、對焦距離、光強度、不同手機下有相似的線性度，本研究同時開發一可量化環境的模擬環境系統作為輔助系統以供測試居家健檢系統時使用。
本研究中的居家健檢系統其應用程式使用於Android作業系統以Android Studio IDE使用Java程式語言開發，使用的網頁伺服器為XAMPP，並以PHP做資料傳輸與管理。伺服器中的影像處理程式以Visual Studio IDE做為開發環境，整合HSV色彩空間之概念、OpenCV開源程式庫與Nvidia所開發的CUDA架構以C/C++撰寫。
在模擬環境系統中的測試，本研究所開發的居家健檢系統其影像處理程式於開放環境下仍可正確的抑制陰影、環境光與人為操作上的誤差並且正確的得到T線特徵位置。並於偏光、對焦高度與光強度等不同環境變數下其灰階靈敏度測試的曲線決定係數可介於0.978至0.999之間，而於實際糞便潛血檢測劑量量測下其曲線決定係數可達0.956，且可良好的分辨0 ng/mL與50 ng/mL。

This thesis presents a health care system with fast, portability, stability, and low cost for fecal occult blood tests (FOB) to replace the traditional health checkup. The inspection is based on immunochromatographic assay which is widely applied to many fields of clinical diagnosis. In combination with immunochromatographic strip and home health checkup System, the patient is able to detect and calculate the concentration of the sample. Furthermore, the patient can browse the diagnostic records, view the trend and have a health checkup in any place by the application. The system software integrate HSV image processing, cloud computing, Compute Unified Device Architecture (CUDA) acceleration, Android application and server management. Compare with traditional health checkup, to operate the home health checkup system, the only additional hardware is a stage with color palette made by cardboard and the user’s mobile device. To confirm the system with confirmation experiments, we also build a support system which is use to simulate the difference environment. After the test, we found that the home health checkup system is strong enough to operate correctly in most of the condition in daily routine and it is able to present an agile, high sensitive and steady performance with low economical cost.

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