臺灣博碩士論文加值系統

當心臟疾病突發時，心肺復甦術(CPR)是急救病患中重要的一環。CPR胸外按壓得在相關的規範內，若壓太輕效果不大，若太大力則可能造成病患傷害。現今人們隨身攜帶著手機與手錶，在面對突發狀況時若能即時運用此兩裝置，更能增加急救的效果與效率。因此本論文欲開發出一套結合使用穿戴式裝置與智慧型裝置的CPR輔助系統。本論文使用自製的穿戴式裝置進行按壓感測，透過加速度計的量測，可以運算按壓的次數與頻率，甚至將加速度積分為位移，算出按壓深度與回彈距離。透過安妮外部的光學動作捕捉系統進行驗證，按壓深度與回彈距離誤差分別為2.37±3.03mm與2.19±2.86mm；使用安妮內部的線性電阻進行驗證，按壓深度與回彈距離誤差為2.2±2.84mm與2.09±2.69mm，而按壓次數誤差為±1下。最後進行使用本裝置前後比較，使用本系統能提昇84.7%的按壓頻率準確度與64.5%的按壓深度準確度，問卷調查結果反映使用本系統更能提昇使用者的按壓信心與能力。未來欲增設陀螺儀以增加不同角度下的深度準確度，以及偵測手臂彎曲狀況。

Cardiopulmonary resuscitation (CPR) is an important way for first aid when cardiac arrest suddenly occurs. The depth of chest compression must meet the standard, if the compression is too shallow will cause the ineffectiveness, else will lead to patient's injury. People nowadays bring smartphones or wear smartwatches. In order to increase the effectiveness and efficiency of emergency treatments, the applications based on the smartphones or smartwatches should be considered. Therefore, a CPR assistive system that combines wearable and smart devices is developed in this study. We use the designed wearable device to monitor the quality of chest compression. Using the accelerometer measurements to execute the number and frequency of compression, then integrates the acceleration to calculate the displacement, the compression depth and recoil distance. Based on the overall results of compression depth and recoil distance verification, we found an accuracy of 2.37±3.03mm and 2.19±2.86mm as compared to the optical motion capture system (Qualisys) (outside manikin), an accuracy of 2.2±2.84mm and 2.09±2.69mm as compared to the linear variable differential transformer (LVDT) (inside manikin), and an error of the number of compression of ±1 times. The result of survey questionnaire presents that with the use of our proposed system can improve the self-confidence and the ability of the users. Furthermore, a gyroscope will be added to increase the depth accuracy of different angles and to detect the bending of arms in the future.

論文摘要 I
ABSTRACT II
誌謝 III
目錄 IV
圖目錄VII
表目錄 IX
第一章 緒論 1
1.1 動機與目的 1
1.2 市售產品比較 4
1.3 文獻回顧 5
1.4 論文架構 8
第二章 背景與原理 9
2.1 CPR 執行與訓練 9
2.1.1 CPR 簡介 9
2.1.2 Hands-Only CPR 10
2.1.3 CPR 訓練 10
2.2 計算深度原理 11
第三章 研究方法 12
3.1 系統架構 12
3.2 硬體裝置 13
3.2.1 硬體架構 13
3.2.2 微控制器 14
3.2.3 感測器 15
3.3 手機端程式 16
3.3.1 程式界面 16
3.3.2 程式流程 18
3.4 韌體程式 20
3.4.1 韌體流程 20
3.4.2 通訊格式 21
3.5 韌體演算法 21
3.5.1 演算法流程 21
3.5.2 準位處理 23
3.5.3 雜訊漂移處理 24
3.5.4 次數與頻率計算 26
3.5.5 深度與回彈計算 29
第四章 實驗設計與結果討論 32
4.1 實驗目的 32
4.2 實驗 1、演算法驗證 32
4.2.1 實驗環境 32
4.2.2 實驗 1.1 次數驗證 34
4.2.2.1 實驗方法 34
4.2.2.2 實驗結果 34
4.2.3 實驗 1.2、深度與回彈驗證 35
4.2.3.1 實驗方法 35
4.2.3.2 實驗結果 36
4.2.4 實驗 1.3、體內外深度相關性 39
4.2.4.1 實驗方法 39
4.2.4.2 實驗結果 39
4.3 實驗 2、輔助成效實驗 41
4.3.1 實驗環境 41
4.3.2 實驗方法 42
4.3.3 實驗結果 43
4.4 結果討論 45
4.4.1 次數濾波 45
4.4.2 準位濾波 45
4.4.3 體內外線性回歸 47
第五章 結論 51
參考文獻 52
授權書 66

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