臺灣博碩士論文加值系統

從國家發展委員會數據得知出生人口逐年下降及老齡化趨勢攀升，現今及未來面臨醫療照護之問題。本論文在於探討如何解決醫護專業人員短缺問題又同時能使照護品質提升，其方式為建立無線網路醫療照護系統，並透過數據整合後以利於分析改善醫療品質及可解決護病比之問題。

為達上述目的，本文運用近年興起之無線感測器網路(Wireless Sensor Network；WSN)將電子醫療監控設備訊號藉由WSN傳輸至資料庫，未來可進一步結合照護系統運用分析並主動通報病患用藥，亦可應用人工智慧與大數據等擴充本系統之效能。本系統所運用之感測元件包括電子醫療監控設備及醫療環境掌控等。如穿戴式裝置電子手環,可監測心跳脈搏、呼吸數、血壓、血氧濃度及緊急求救之訊號。另外與照護病房相關者，例如：溫度、濕度、日照等訊號，再以ESP-8266硬體結合感測元件，將資料數據透過電腦或手機WIFI或網路上傳(下載)至資料庫。

當整個系統建立完善後，可由醫師評估給於病患適當之電子醫療監控設備,除依據醫師監控數值範圍可設定異常警示範圍值外,設備亦可將病情數值收集傳輸至雲端平台MY-SQL資料庫或照護系統,並進行運算。當數值顯示異常狀況時照護系統將通報醫護人員前往處理給.另一方面醫護人員亦可在照護系統端透由網路引導安撫病患達到雙向互動。未來本研究可往建立大數據資訊平台，對病患生理數據及環境資訊統計分析，發展人工智慧應用，增進智慧醫療功能，可大幅提升醫療效能。

According to the National Development Committee data, the number of births has been declining year by year and the trend of aging has risen. Nowadays, there are problems in medical care. This paper explores how to address the shortage of healthcare professionals while improving the quality of care by establishing a wireless network medical care system that integrates data to facilitate analysis and improve medical quality and address the issue of care.

In order to achieve the above objectives, this paper uses the wireless sensor network (WSN) that has emerged in recent years to transmit the electronic medical monitoring equipment signal to the database through WSN. In the future, it can further analyze the application of the care system and proactively notify patients. Medication can also be used to extend the effectiveness of the system using artificial intelligence and big data. The sensing components used in this system include electronic medical monitoring equipment and medical environment control. Such as the wearable device electronic wristband, you can monitor the heartbeat pulse, respiratory sputum, movement, blood pressure, blood oxygen concentration and emergency help signal. In addition, related to the care unit, such as: temperature, humidity, sunshine and other signals, and then ESP-8266 hardware combined with sensing components, the data is uploaded (downloaded) to the database through the computer or mobile phone WIFI or network.

When the whole system is established, the doctor can evaluate the appropriate electronic medical monitoring equipment for the patient. In addition to setting the abnormal warning range value according to the doctor's monitoring value range, the device can also collect the disease value and transmit it to the cloud platform MY-SQL data. Library or care system, and perform calculations. When the value shows abnormal conditions, the care system will notify the medical staff to handle it. On the other hand, the medical staff can also guide the patient through the network to achieve two-way interaction in the care system. In the future, this research can build a big data information platform, analyze the patient's physiological data and environmental information, develop artificial intelligence applications, and enhance the smart medical function, which can greatly improve medical efficiency.

中文摘要 …………………………………………………………... i
英文摘要 …………………………………………………………... iii
誌謝 …………………………………………………………... v
目錄 …………………………………………………….…….. vi
表目錄 …………………………………………………………... v iii
圖目錄 …………………………………………………………... ix
第一章 緒論……………………………………………...……… 1
1.1 研究背景及動機……………..…………………………. 1
1.2 研究目的………….…………………………………….. 2
第二章 文獻回顧與探討………………………...……………… 3
2.1 發展健康醫療大環境..…..……………...……………… 3
2.2 WSN的發展…..………………………...……………… 4
第三章 軟硬體系統架構……………………………….......…… 7
3.1 無線感測網路系統架構……………………….…..…… 7
3.1.1 網路的拓樸…………….…………………….…….…… 8
(1)點對點拓撲(Line Topology) …………..….………… 8
(2)匯流排拓撲(Bus Topology) ………………………… 8
(3)星形拓撲(Syar Topology) …………….………..…… 9
(4)環形拓撲(Ring Topology) …………………...……… 9
(5)網狀拓撲(Mesh Topology) ………………………..... 10
(6)樹拓撲(Tree Topology) ………………………...…… 11
(7)混合拓撲(Fully Connected Topology) ………...….… 11
3. 2 硬體架構……………………….…..…………………… 12
3. 2.1 ESP8266介紹…………..……………….……………… 13
3.3 軟體架構…………………………………….………..… 17
3.3.1 Blynk Server介紹…………………..……….………….. 18
3.3.2 MY-SQL介紹…………….…..………………………… 19
第四章 實驗設備與方法………………..…………….………… 22
4.1 Blynk Server 建置程序………….…………………… 23
4.2 控制器(NodeMCU)配置………….……………………… 23
4.3 NodeMCU連接Blynk Server…………………………… 25
4.4 資料庫建罝…………………………...………………… 28
4.5 行動載具Blynk APP設定……………………………… 30
第五章 實驗結果與討論………………………….…..………… 33
第六章 結論…………………………….…………..…………… 38
參考文獻 …………………………………………………………... 39

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