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研究生:蕭正賢
研究生(外文):Cheng-hsien Hsiao
論文名稱:個人化具生物反饋能力之智慧無線生理感測器
論文名稱(外文):A Wireless Smart Sensor with Biofeedback Technology for Personal Physiological Monitoring
指導教授:沈祖望沈祖望引用關係
指導教授(外文):Tsu-Wang (David) Shen
學位類別:碩士
校院名稱:慈濟大學
系所名稱:醫學資訊研究所
學門:醫藥衛生學門
學類:醫學技術及檢驗學類
論文種類:學術論文
論文出版年:2008
畢業學年度:96
語文別:中文
論文頁數:91
中文關鍵詞:心電圖三軸加速器生物反饋藍芽無線通訊個人化智慧生理感測器
外文關鍵詞:ECGMSP4303-axis accelerometerMicro SD card
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臺灣及一些已開發的國家,老年人口比例逐年增加,隨著物質生活富裕與不良的飲食習慣,心血管疾病(cardiovascular disease, CVD)成為現代人死亡的主要原因,其致死率一直高居十大死因的前三名。而對於預防心血管疾病,運動與生理監測是最佳的預防方式,因此隨身型與智慧化生理監測系統一直是近年來生醫儀器發展的趨勢,而具有心電圖功能之可攜式儀器,確有其開發之必要性。心電圖除了可以用來判斷心血管疾病、心律不整外,也可用來促使使用者維持良好之日常生活形態,提醒病患執行醫生主張之333計畫(一星期三次運動,每次30分鐘,心率達到130bpm),用於預防心血管疾病。
本研究探討一個具智慧型感測器之生理感測器,主要整合多個感測器之訊號,產生一個正確功能或決策,並將應用於生物反饋技術上,讓人體心率及活動情況以即時語音回饋。本智慧型感測器包含硬體及韌體部份,硬體以德州儀器的所生產的低耗電微處理器為核心,結合周邊模組,包含心電圖電路、三軸加速器電路、GPS、MP3、Bluetooth及LCD等,均使用SMD元件微型化其大小,利於隨身攜帶。韌體部份,使用IAR軟體開發系統功能,透過三個感測器(心電圖、三軸加速器與GPS)之訊號,判斷使用者之心率、活動情況及路徑,並使用MicroSD記憶卡儲存上述的三種訊號,透過藍芽無線通訊將智慧型感測器上的資料上傳到PC端上,以及從PC端下載個人化之資訊,使用MP3模組完成語音回饋之功能。
本智慧型感測器可配掛乾式電極之特製耳機,可偵測即時心電圖並同時收聽音樂,透過個人化的學習過程,把資訊及設定,傳送至智慧型感測器內,可依不同使用者,做運動的姿勢(激烈或緩和)變換合適的音樂,讓運動時的樂曲風格能契合當時的運動型態,期以增加使用意願及運動時間;除此,可透過即時心率偵測、三軸加速器數據,予以即時生理回饋。其反饋目的在於,當運動超過自身心臟所能負荷的強度時,透過耳機語音提示,立即給予暫緩激烈運動的語音建議。本研究亦結合GPS全球衛星定位系統,詳細記錄下運動時候的座標位置與路徑。待使用者運動結束回到PC旁,可藉由藍芽連線將各項生理數據上載,做各種應用。希望透過此裝置提供給運動的使用者,能有安全、愉悅、良好的運動經驗。讓預防醫學結合娛樂,提升智慧生理監控儀器與醫療器材之附加價值。
The aging population keeps growing in many developed countries, such as Taiwan. Cardiovascular disease (CVD) caused thousands of deaths in Taiwan, and inappropriate life style and unhealthy diet habit can increase the risk for CVD.
The best way to avoid the risk of CVD is to exercise with personal physiology monitor system. Generally, the smart sensor monitor system is the trend of development of portable monitoring devices in recent years. For controlling CVD, it is necessary to develop a smart sensor with electrocardiogram monitoring embedded.
In this study, a smart sensor is developed, which is combined multiple sensors to produces proper reactions and to provide voice feedback of heart rate and overload physiology condition warming. Hence, the smart sensor can help users to maintain their health regularly and to change their life style. Moreover, it can remind patients to execute the healthy 333 plan from doctor to prevent cardiovascular diseases. The healthy 333 plan means that people need to exercise three times a week, thirty minutes each time, and to reach the heart rate at 130bpm.
For more details, the intelligence physiology sensor system includes both hardware and firmware. The core of the hardware is a low-power microprocessor which is produced by Texas Instruments. It is composed with electrocardiogram amplifiers, accelerometer, GPS, MP3, Bluetooth, and LCD etc. All electronic parts used SMD packages to make it small and easy for carrying.
The firmware is developed by IAR development system. The function of the smart sensor contains heart rate and activity recording by using ECG, accelerometer and GPS sensors. The smart sensor also contains Micro SD card to record signals and sends those data to PC by using Bluetooth. Also, it can download personal information from PC to device.
It can change different music based on users’ activities to fit different exercise styles. It could help users to extend their exercise time. However, when the physiological condition is overload, then the sensor will advice the user to slow down through voice feedback. The GPS sensor can record user’s coordinate and trace when exercising. After exercise is done, users can upload their physiological status to PC by using Bluetooth module.
Overall, the device is developed to supply safely, enjoyable exercise experience to users. In the future, we hope the smart sensor which will combine entertainment to provide the extra values on monitoring instruments.
致謝 i
摘要 ii
Abstract iii
目錄 iv
圖目錄 viii
表目錄 xi
第一章 緒論 1
1.1研究前言 1
1.2研究動機 1
1.3研究目的 2
1.4研究架構 3
1.5研究流程 4
第二章 系統架構與簡介 5
2.1 智慧型感測器簡介 5
2.2文獻探討 6
2.3智慧型感測器架構 8
第三章 感測器 9
3.1 心電圖感測模組 9
3.1.1心電圖簡介及特性 9
3.1.2心電圖導程的介紹 10
3.1.3心電圖擷取電路 12
3.1.5 儀表放大器 12
3.1.6 心電圖擷取電路 16
3.2三軸加速器感測模組 17
3.2.1 ADXL330三軸加速器的簡介 17
3.2.2 ADXL330三軸加速器電路設計 18
3.3全球衛星定位系統(GPS)感測模組 20
3.3.1全球衛星定位系統(GPS)簡介 20
3.3.2 Lassen iQ GPS receiver module簡介 20
3.3.3 NMEA 0183通訊介面 21
3.3.4 GPS module與MSP430連結及控制 22
第四章 微控制器及類比轉數位模組 24
4.1 MSP430XX微控制器簡介 24
4.2MSP430內之類比數位轉換模組 25
4.2.1 ADC12模組簡介 25
4.2.2 ADC12模組的運作及原理 27
4.2.3 以ADC12模組成實現生理訊號擷取 29
第五章 藍芽無線通訊連結 31
5.1藍芽無線通訊模組簡介 31
5.2藍芽無線通訊模組與MSP430連結及控制 32
第六章 儲存媒介 34
6.1 Micro SD 記憶卡簡介 34
6.2 Micro SD 記憶卡與MSP430連結及控制 35
6.2.1 硬體設計 35
6.2.2韌體設計 35
6.3 FAT檔案結構 36
第七章 電源電路 39
7.1 電源電路設計 39
7.2 USB充電電路設計 40
第八章 使用者介面及語音回饋 43
8.1 LCD顯示模組 43
8.1.1 Nokia 6100 LCD Display 簡介 43
8.1.2 Nokia 6100 LCD模組與MSP430連結及控制 44
8.1.3 LED背光升壓電路設計 46
8.2 語音回饋模組 47
8.2.1 VS1011音樂解碼IC簡介 47
8.2.2 VS1011 Decoder IC與MSP430連結及控制 49
8.2.3語音回饋 51
第九章 嵌入式演算法 53
9.1演算法架構 53
9.2 心電圖QRS複合波偵測 54
9.2.1數位濾波器 55
9.2.2 心電圖訊號轉為特徵化後結果 56
9.2.3以動態閥值偵測QRS複合波及心率的計算 57
9.3 個人化姿態偵測 58
第十章 研究結果 61
10.1智慧無線生理感測器:原型機完成之硬體及系統功能 61
10.2 以仿生心電圖系統評估R波偵測之正確率 65
10.3 ear -Lear及標準導程之間的關係 67
10.3.1 ear-Lead及標準導程之間的關係 67
10.3.2 LMS Algorithm 69
10.3.3 結果與討論 70
10.3.4自製乾式電極介紹 74
10.3.5 ear-Lead量測方式 75
第十一章 結論與討論 77
第十二章 應用範圍與及未來展望 80
4.3.1摘要功能區 82
4.3.2及時狀態 83
4.3.3個人化設定: 84
4.3.4運動紀錄: 85
參考文獻 88
附錄 91
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