高感度無袖套的穿戴式血壓值之量測

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姓名

蔡宗衛(Tsung-wei Tsai) 查詢紙本館藏

畢業系所

資訊工程學系

論文名稱

高感度無袖套的穿戴式血壓值之量測
(A High-sensitive and Cuff-less Blood Pressure Watching for Future Wearable Health Care.)

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摘要(中)

近年，行動裝置的蓬勃發展已經改變了許多既有的生活方式，讓我們可以不受時間地點的限制，實現很多過去無法完成的事情，同時也帶動很多領域的技術發展。在行動醫療上，我們得利於這場行動裝置的革命，讓我們可以更加便利的檢測。在過去檢測時，我們需要龐大的儀器，費時費工；但時至如今，我們可以透過無線傳輸的技術，和生理資訊的電子感測器，隨時隨地擷取身體關於健康的蛛絲馬跡並即時顯示在行動裝置上，增進了檢測的效率和便利。
我們在這篇論文中，統整並開發出一套包含心電圖及脈波圖感測器的穿戴式儀器以及對應的智慧裝置應用程式。我們利用開發出來的程式進行大量數據截取實驗以及數據回歸分析後，獲得脈波傳遞時間相對收縮壓以及舒張壓的線性關係方程式。由實驗所得的方程式並配合我們統整開發的器材，透過皮膚和手指接觸，便可達成血壓量測的目的。我們的研究改善過去侵入式血壓量測所帶來的不適感和袖套式血壓機的不便利，實作出一項有未來性且可用於行動醫療和健康照護上的利器。

摘要(英)

Recently, our usual life has been changed sharply due to the flourishing growth of the portable smart devices. It breaks through the limitation of time and space and makes everything more reachable than before, which simultaneously triggers the increasing inventions in many research fields. In the mobile health care, we highly benefit from these technological revolutions. Modern techniques monitor physical conditions by the light and small biological sensors and transmit detailed information via the wireless network to our portable smart device immediately. The previous disadvantages during the examination, e.g. the enormous equipment, the time and cost acquirement, are much improved now.
In this thesis, we develop an Android application program and also design a wearable device contains the Electrocardiography (ECG) sensor and the Photoplethysmogram (PPG) sensor. The relation between the Pulse transit time (PTT) and the blood pressure was investigated successfully via our programs and device. The blood pressure can be easily measured in our wearable device through the contact between our skin and the sensors. It decreases the chance of infection from the invasive method and erases the uncomfortable and inconvenience from the cuff-based method. Our researches not only implement a useful tool but also shed light on the mobile health care in the future.

關鍵字(中)

★ 穿戴式醫療
★ 心電圖
★ 無袖套式血壓量測
★ 脈波

關鍵字(英)

★ Wearable device
★ health care
★ ECG
★ PPG
★ PTT
★ PWV
★ blood pressure
★ cuff-less

論文目次

摘要 i
ABSTRACT ii
Table of Contents iii
List of Figures iv
List of Tables v
Chapter 1 Introduction 1
1.1 Background 1
1.2 Motivation 6
1.3 Research Goal 7
Chapter 2 Related Works 9
2.1 Wearable ECG Sensor 9
2.2 Wearable PPG Sensor 9
2.3 Cuff-less PTT-based Blood Pressure Estimation 10
Chapter 3 System Design 12
3.1 System Overview 12
3.2 System Achitecture 15
3.2.1 Signal Source 15
3.2.2 Experiment Android Application 19
3.2.3 Experiment Design 25
3.2.4 Regression Module Design 27
Chapter 4 Results and Comparison 35
Chapter 5 Conclusion 39
Reference 40

參考文獻

1. Suzuki, Takumi, et al. "Wearable wireless vital monitoring technology for smart health care." Medical Information and Communication Technology (ISMICT), 2013 7th International Symposium on. IEEE, 2013.
2. Xu, Lin, et al. "A wearable vital signs monitoring system for pervasive healthcare." Sustainable Utilization and Development in Engineering and Technology (STUDENT), 2010 IEEE Conference on. IEEE, 2010.
3. Zhu, Jianxin, Leina Gao, and Xinfang Zhang. "Preliminary Research on Wearable Healthcare in Ubiquitous Computing Age." Computer Science and Software Engineering, 2008 International Conference on. Vol. 3. IEEE, 2008.
4. Borodin, Alexander, Artem Pogorelov, and Yuliya Zavyalova. "The cross-platform application for arrhythmia detection." Proc. of the 12th Conference of Finnish-Russian University Cooperation in Telecommunications Program. 2012.
5. Angius, Gianmarco. "Electronic devices and systems for monitoring of diabetes and cardiovascular diseases." (2009).
6. Hsieh, J. C., et al. "The clinical application of an XML-based 12 lead ECG structure report system." Computers in Cardiology, 2009. IEEE, 2009.
7. Pin, Ooi Chip, Asral Bahari Jambek, and Sazali Yaacob. "Circuit architectures reviews for portable ECG signal analyzer." Electronic Design (ICED), 2014 2nd International Conference on. IEEE, 2014.
8. Chen, Chao, et al. "WE-CARE: A wearable efficient telecardiology system using mobile 7-lead ECG devices." Communications (ICC), 2013 IEEE International Conference on. IEEE, 2013.
9. Huang, Anpeng, et al. "WE-CARE: an intelligent mobile telecardiology system to enable mHealth applications." Biomedical and Health Informatics, IEEE Journal of 18.2 (2014): 693-702.
10. Garde, Ainara, et al. "Development of a Screening Tool for Sleep Disordered Breathing in Children Using the Phone Oximeter™." (2014): e112959.
11. Garde, Ainara, et al. "Estimating respiratory and heart rates from the correntropy spectral density of the photoplethysmogram." PloS one 9.1 (2014).
12. Wang, Cong-Zhi, and Yong-Ping Zheng. "Home-telecare of the elderly living alone using an new designed ear-wearable sensor." Medical Devices and Biosensors, 2008. ISSS-MDBS 2008. 5th International Summer School and Symposium on. IEEE, 2008.
13. Kearney, Patricia M., et al. "Global burden of hypertension: analysis of worldwide data." The Lancet 365.9455 (2005): 217-223.
14. Wolthuis, Roger, et al. "Portable blood pressure measurements: performance of Korotkov sound analysis techniques." Hypertension 3.5 (1981): 596-600.
15. Zhang, Qiao. Cuff-free blood pressure estimation using signal processing techniques. Diss. University of Saskatchewan Saskatoon, 2010.
16. Fukui, Tomohiro, Kim H. Parker, and Takami Yamaguchi. "PULSE WAVE PROPAGATION IN LARGE BLOOD VESSELS BASED ON FLUID-SOLID INTERACTIONS METHODS."
17. Cattivelli, Federico S., and Harinath Garudadri. "Noninvasive cuffless estimation of blood pressure from pulse arrival time and heart rate with adaptive calibration." Wearable and Implantable Body Sensor Networks, 2009. BSN 2009. Sixth International Workshop on. IEEE, 2009.
18. Chandrasekaran, Visweshwar, et al. "Cuffless differential blood pressure estimation using smart phones." Biomedical Engineering, IEEE Transactions on 60.4 (2013): 1080-1089.
19. Gu, W. B., et al. "A h-shirt-based body sensor network for cuffless calibration and estimation of arterial blood pressure." Wearable and Implantable Body Sensor Networks, 2009. BSN 2009. Sixth International Workshop on. IEEE, 2009.
20. Masè, Michela, et al. "Feasibility of cuff-free measurement of systolic and diastolic arterial blood pressure." Journal of electrocardiology 44.2 (2011): 201-207.
21. Worringham, Charles, et al. "Development and feasibility of a smartphone, ECG and GPS based system for remotely monitoring exercise in cardiac rehabilitation." PloS one 6.2 (2011): e14669.
22. Kishore, Prajakta, Santosh S. Saraf, and S. M. Onkari. "Human activities–their classification, recognition and ensemble of classifiers." Int. J. Comput. Appl76.14 (2013): 6-11.

指導教授

吳曉光(Hsiao-kuang Wu)

審核日期

2015-7-15

推文