臺灣博碩士論文加值系統

現今的社會高齡化與居家照護問題日漸遽增，如何解決醫療資源的浪費及照護的舒適性，採用無線的方式收集數據與數據後續的管理和規劃是這篇文章的重點。

本論文以Arduino為主要平台，透過小型的Arduino Micro板與測量人體心跳、血壓以及溫度的感測器結合作出穿戴式醫療裝置，並且利用XBee來達到數據無線的傳遞，讓使用者的活動範圍不侷限於在病房內，自由度大大的提升。數據收集的部分是由主端的Arduino Uno板上作收集與運算，透過設計的程式來判斷目前使用者的生理狀況調整病床的上升下降來達到舒適位置。數據後續的規劃是利用主端上的ESP8266 WiFi模組來將整理過後的數據上傳至ThingSpeak與個人監測網頁，在個人監測網頁內我們可以觀測使用者的生理數據，並且透過TCP/IP的連線來達到遠端切換Arduino測量的模式，而上傳至ThingSpeak的數據會以圖表化的方式呈現，並且可以直接下載Excel表格，方便觀察與後續的整理。

此系統的優點與方便性在於使用了自由性高的Arduino控制板當作主體，在病患住院前醫生可以對病患進行初步評估，為這位病患找到適合的感測器，事後再經由醫療工程師對穿戴式醫療裝置端上的感測器做修改，可以因不同的病患之不同的病情進行最需要的監測；收集一定的數據量後會在主端的Arduino板上作決策樹的判斷來預測病人的病發前兆，讓醫生可以更有效的了解病患的生理狀況並且建立早期預報系統，達到智慧型醫療環境的理想。

The problems of aging and home care are increasing in nowadays. However, how to solve the waste of medical resources and the comfort of caring, using the wireless to collect data and manage and plan follow-up data are the point of this article.

This paper uses Arduino as the main platform. Using the small Arduino Micro board, the sensor for measuring human heartbeat, blood pressure and temperature to make a wearable medical device, and uses XBee to communicate data wirelessly let the range of activities for users are not limited in the sickroom, therefore; the level of freedom upgrade greatly. In addition, we use the main Arduino Uno board to collect and calculate data and use the designed program to determine the physiological condition of current users and adjust the rise and fall of the bed to reach a comfortable position. The subsequent planning of the data is to use the ESP8266 WiFi module which is on the main terminal to upload the collated data to the ThingSpeak and personal monitoring pages. In the personal monitoring page, we can observe the physiological data of users and achieve the Arduino measurement mode for remote switching by the connection of TCP/IP. Then, the data which is uploaded to ThingSpeak will be presented in graphics and the Excel spreadsheet can be downloaded directly for observe easily and subsequent finishing.

The advantage and convenience of this system are using the highly free Arduino control board to be the main part. Before the patient is hospitalized, the doctor can do a preliminary assessment to the patient and find a suitable sensor for the patient. After that, the medical engineer can modify the sensor which is on the wearable medical device to perform the most needed monitoring for different conditions of different patients; after collecting a certain amount of data, the judgment of the decision tree will be made on the main Arduino board to predict the patient's disease characteristics, let the doctor can understand the patient's physiological condition more effectively and establish the early warning system to reach the ideal smart medical environment.

中文摘要 ............................i
英文摘要 ...........................ii
誌謝 ...............................iv
目錄 ...............................v
表目錄 .............................vii
圖目錄 .............................viii
第一章 簡介 ..........................1
1.1 研究動機 ........................1
1.2 研究背景 ........................2
1.3 論文架構 .........................3
第二章 設備介紹與技術背景 ..............4
2.1 何謂Arduino ......................4
2.1.1 Arduino特色 ....................5
2.1.2 Arduino硬體介紹 ................8
2.1.3 Arduino軟體介紹(Arduino IDE) ...10
2.2 ZigBee無線傳輸技術 ...............12
2.2.1 ZigBee特色 .....................12
2.2.2 IEEE 802.15.4與ZibBee通訊協定 ...13
2.2.3 ZigBee網路架構 ..................14
2.2.4 XBee S2介紹 ....................16
2.2.5 X-CTU軟體設置XBee裝置參數 .......17
2.3 ESP8266 WiFi模組介紹 .............18
2.4 MAX30100脈搏血氧感測器 ............19
2.5 手指心跳感測器 ....................19
2.6 熱敏電阻溫度感測器 ................20
2.7 物聯網(Internet of Things)介紹 ...21
2.7.1 物聯網架構 .....................22
2.8 ThingSpeak ......................23
2.9 APP Inventor ....................25
2.9.1 APP是什麼 ......................26
2.9.2 APP Inventor2介紹 ..............27
2.10 決策樹 ..........................28
2.10.1 疊代二元樹3代 .................29
第三章 系統架構設計 ...................30
3.1 軟/硬體設定流程 ...................31
3.1.1 Arduino 硬體設置與程式設計 ......31
3.1.2 XBee S2連接設定 ................33
3.1.3 ThingSpeak規劃 .................35
3.1.4 網頁設計 .......................37
3.1.5 APP Inventor2規劃 ..............38
3.2 使用流程 .........................40
第四章 系統實作與測試 .................41
4.1 硬體配置 .........................41
4.2 配戴穿戴裝置與實際測試 ............44
4.3 雲端觀測感測值數據 ................46
4.3.1 Web個人觀測網頁 ................46
4.3.2 ThingSpeak觀測網頁 .............47
4.4 決策樹設計 .......................49
第五章 結論與未來展望 .................50
參考文獻 .............................51
Extended Abstract ................ ..54

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