臺灣博碩士論文加值系統

目的：為了提高病人生理資料量測的效率以及改善護理人員手動輸入資料時，因人為疏失而造成的資料錯誤，同時可以降低隔離病房中護理人員與病患的交叉感染的理念。
材料與方法：本系統使用Microsoft Visual Studio 2010作為平台開發軟體，利用Visual Studio C#設計使用者視窗介面，系統整合HUAYU嵌入式生理訊號量測平台心電圖(Electrocardiogram, ECG)、呼吸速率(Respiratory rate, RR)、血氧濃度(SPO2)以及血壓(blood pressure, BP)量測模組記錄受測者之生命徵象，並結合Super-View型號HW-3050身高體重機記錄受測者的醫務資訊，使用EHUOYAN的無線射頻辨識(Radio frequency identification, RFID)模組辨識受測者病歷號碼，提供快速且自動的病歷資料搜尋。利用INTOPIC七個通訊阜之通用串列匯流排(Universal Serial Bus, USB)擴充器將資料傳輸至電腦端做解碼，將不同生理醫學測量模組整合至生理監控量測平台，最後利用Microsoft SQL Server 2008資料庫，將受測者資料做規劃建檔。
結果：本系統整合了五種生理醫學量測模組，並使用了RFID取代人工輸入病歷號碼搜尋病人資料與病歷。在病人基本生理資訊量測上約可減少70%的時間，同時避免護理師手動輸入病人生理資料時的人為疏失；同時，在隔離病房運用中，達到遠距監控生命徵象的目的，其可避免醫護人員量測病人時的肢體接觸，大幅降低了醫護人員與病人的交叉感染之風險。
結論：本研究證實生理監控量測平台能有效改善護理人員量測生理資訊後輸入過程中的人為疏失，並提升70%的量測效率，同時減少隔離病房中，醫護人員與病人的交叉感染機率。

Purpose：In order to increase the efficiency of patient physiological data measurement and decrease data input error that is caused by human negligence when paramedics enter the data manually. This concept can also reduce the cross-inflection between isolation ward staffs and patients simultaneously.
Materials and methods：This system uses Microsoft Visual Studio as a platform for software development, and design Windows users interface with Visual Studio C#. This system integrates HUAYU embedded physiological signal measurement platform which includes electrocardiogram (ECG), respiratory rate (RR), blood oxygen concentration (SPO2) and blood pressure (BP) measurement module, used in personal vital sign recording. Also, this system combined with Super-View Model HW-3050 height and weight machine. In addition, radio frequency identification (RFID) module was used to provide fast and automated search of medical records. After that, data transmit to the server computer to do the decode by using seven communications mound of Universal Serial Bus (USB) expander, then integrated different physiological medical measuring modules into this system. At last, Microsoft SQL Server 2008 was used as the database to process and archive the personal data.
Results：This system integrates five kinds of measuring modules in physiology and medicine, and it also replace manual input ID number for searching patient information and medical records by using RFID tag. When utilizing this system, 70 percent of the time for measuring patient basic physiological information can be reduced, and human error from manually enter patient physiological data can be avoided at the same time. Meanwhile, this system can achieve the purpose of remote monitoring of vital signs in the use of isolation wards, which can avoid physical contact between medical staff and patient while measuring patients basic physiological information. This may significantly reduce the risk of cross-infection between medical staff and patients.
Conclusions：This study demonstrates that the physiological monitoring and measurement platform can effectively reduce human error while entering data after measuring the physiological information, and increase of 70% measuring efficiency. Moreover, this system can reduce the chance of cross-inflection between medical staff and patients in the isolation ward.

摘要 i
致謝 v
圖目錄 viii
表目錄 x
第一章 緒論 1
1.1 動機 1
1.2 目的 2
1.3 相關文獻探討 3
第二章 材料與方法 4
2.1 前言 4
2.2 生理資訊量測平台硬體架構 6
2.1.1 心電圖測量 6
2.1.1.1 心電圖生理訊號量測模組 6
2.1.1.2 心電圖基本量測原理 7
2.1.2 呼吸速率測量 8
2.1.2.1 呼吸速率生理訊號量測模組 8
2.1.2.2 呼吸速率基本量測原理 9
2.1.3 血氧濃度量測 10
2.1.3.1 血氧濃度生理訊號量測模組 10
2.1.3.2 血氧濃度基本量測原理 11
2.1.4 血壓量測 12
2.1.4.1 血壓生理訊號量測模組 12
2.1.4.2 血壓基本量測原理 13
2.1.5 身高體重機 14
2.1.6 耳溫槍 15
2.1.7 無線射頻模組 16
2.1.8 USB擴充器 17
2.3 生理資訊量測平台軟體架構 18
2.1.9 使用者介面開發 18
2.1.10 SQL資料庫 19
第三章 結果 20
3.1 前言 20
3.2 生理監控量測平台 21
3.2.1 生理監控量測平台安裝步驟 21
3.2.1.1 Step1 21
3.2.1.2 Step2 21
3.2.1.3 Step3 22
3.2.1.4 Step4 22
3.2.1.5 Step5 23
3.2.1.6 Step6 23
3.2.1.7 Step7 24
3.2.1.8 Step8 24
3.2.2 生理監控量測平台使用者介面 25
3.2.2.1 使用者平台主畫面 25
3.2.2.2 病人基本資料頁面 26
3.2.2.3 基本測量頁面 27
3.2.2.4 血壓測量頁面 29
3.2.2.5 體溫測量頁面 30
3.2.2.6 身高體重測量頁面 31
3.2.2.7 生命跡象監測頁面 32
3.2.2.8 歷史病歷 34
3.2.2.9 設定 35
3.3 SQL Server資料庫 36
3.3.1 SQL Server組態設定 36
3.3.2 SQL Server資料表 37
3.3.2.1 基本資料資料表 38
3.3.2.2 基本測量資料表 39
第四章 討論 40
4.1 相關研究應用 41
4.1.1 居家應用 41
4.1.2 IT技術 41
4.1.3 RFID技術 41
4.2 系統比較 42
4.3 研究限制 43
第五章 結論 44
參考文獻 45

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