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研究生: 孫育嬪
Sun, Yu-Pyn
論文名稱: 應用光體積測量方法量測指尖血流以估測血管老化
The Application of Photoplethysmography to Measure the Blood Flow of Finger Tip for Vascular Age Estimation
指導教授: 鄭國順
Cheng, Kuo-Sheng
學位類別: 碩士
Master
系所名稱: 工學院 - 生物醫學工程學系
Department of BioMedical Engineering
論文出版年: 2013
畢業學年度: 101
語文別: 英文
論文頁數: 37
中文關鍵詞: 周邊血流波型光體積變化描記器血管老化
外文關鍵詞: peripheral blood flow waveform, PPG, vascular age
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  • 由於現代人生活及飲食習慣的改變,影響國民健康狀態,增加罹患心血管疾病機會,其中動脈硬化常被視為引發心血管疾病之重要危險因子之一,因此如何早期預估動脈硬化,對於預防心血管疾病將是一個重要的議題,本研究之目的在於應用量測光學體積測量法,經由指尖末稍血流波形變化,擷取各種相關參數加以分析比較,以便估測血管年齡。本研究量測30位不同年齡之無診斷性心血管疾病受試者,從光學體積變化波形總計擷取九個參數,並以佛明罕心臟研究之心血管估測為參考標準,從實驗結果顯示,受試者血管年齡與前述五項參數有顯著相關性,其中SI,∆P1和∆t4三個參數與血管年齡成正相關,而b/a ratio and PPT兩個參數隨血管年齡增加而降低;故本研究所提出之參數可以簡單有效作為估測血管老化。

    Due to the changes of living and dietary habits, the health of people is significantly affected. The prevalence of cardiovascular disease is increased. The arterial stiffness is usually regarded as the risk factor of acquiring the cardiovascular disease. Therefore, how to estimate the vascular status is an important issue in cardiovascular disease prevention. This purpose of this study is to apply the bilateral photoplethysmography (PPG) system to measure the blood flow waveform from the figure tips, and then to extract and compare the associated parameters for estimate the vascular age. 30 subjects without history of cardiovascular disease are recruited in this study. From the experimental results, five parameters show their good correlation with the vascular age obtained from Framingham Heart Study. Three parameters such as SI, ∆P1, and ∆t4 are increased in proportion with the vascular age. The other two parameters such as b/a ratio and PPT are decreased with vascular age. These parameters obtained from this study are demonstrated to be easy and useful in the estimation of vascular aging.

    CONTENTS 摘 要 I ABSTRACT II ACKNOWLEDGEMENT III CONTENTS IV LIST OF TABLES VI LIST OF FIGURES VII Chapter 1 1 1.1 Background 1 1.2 The Photoplethysmograph (PPG) 3 1.2.1 Photoplethysmography instrumentation 3 1.2.2 The photoplethysmography waveform 4 1.3 Literature Review 6 1.4 Motivation and Purpose 11 1.5 The Organization of the Thesis 11 Chapter 2 13 2.1 Research Framework 13 2.2 Physiological Signal Measurement System 14 2.2.1 PPG Measuring system entity 14 2.3 Parameters Analysis 16 2.3.1 Physiological Parameter 16 A. Extracting single-period PPG waveform 16 B. Extracting single-period PPG waveform parameters 18 C. Calculating cardiovascular risk and vascular age 22 2.4 Experimental Protocol 23 2.4.1 Subject Selection 23 2.4.2 Experimental Procedure 23 2.5 Statistical Analysis 24 Chapter 3 25 3.1 The experimental results 25 3.2 Statistical Analysis of Physiological Parameters 27 Chapter 4 30 4.1 Discussion 30 4.2 Conclusion and Prospects 31 References 32

    [1] http://www.doh.gov.tw/
    [2] S. R. Alty, N. Angarita-Jaimes, S. C. Millasseau, and P. J. Chowienczyk, "Predicting arterial stiffness from the digital volume pulse waveform," IEEE Transactions on Biomedical Engineering, vol. 54, pp. 2268-75, Dec 2007.
    [3] Y.K. Qawqzeh, M.B.I. Reaz, and M.A.M. Ali, "The analysis of PPG contour in the assessment of atherosclerosis for erectile dysfunction subjects, "Trans. Biol. Biomed., vol.7, pp. 306-315, 2010
    [4] S. Laurent, P. Boutouyrie, R. Asmar, I. Gautier, B. Laloux, L. Guize, P. Ducimetiere, and A. Benetos, "Aortic stiffness is an independent predictor of all-cause and cardiovascular mortality in hypertensive patients," Hypertension, vol. 37, pp. 1236-41, May 2001.
    [5] S. C. Millasseau, J. M. Ritter, K. Takazawa, and P. J. Chowienczyk, "Contour analysis of the photoplethysmographic pulse measured at the finger," Journal Of Hypertension, vol. 24, pp. 1449-56, Aug 2006.
    [6] K. Chellappan, M. A. Mohd Ali, and E. Zahedi, "An Age Index for Vascular System Based on Photoplethysmogram Pulse Contour," in 4th Kuala Lumpur International Conference on Biomedical Engineering, pp. 125-128, 2008
    [7] J. Allen and A. Murray, "Age-related changes in the characteristics of the photoplethysmographic pulse shape at various body sites," Physiol. Meas., vol. 24, pp. 297-307, May 2003.
    [8] http://www.framinghamheartstudy.org/
    [9] K. Chellappan, "Photoplethysmogram signal variability and repeatability assessment," in IEEE EMBS Conference on Biomedical Engineering & Sciences, pp. 281-284, 2010.
    [10] J. Allen, "Photoplethysmography and its application in clinical physiological measurement," Physiol. Meas., vol. 28, pp. R1-39, Mar 2007
    [11] R. Gonzalez, A. Manzo, J. Delgado, J.M. Padilla, and B. Trenor, "A computer based photoplethysmographic vascular analyzer through derivatives," Computers in Cardiology, vol.35, pp. 177-180, 2008.
    [12] http://www.rae.ru/use/pdf/2005/6/29.pdf
    [13] J. Allen and A. Murray, "Effects of filtering on Multi-site photoplethysmography pulse waveform characteristics," Computers in Cardiology, vol.31, pp. 485-488, 2004.
    [14] S. C. Millasseau, R. P. Kelly, J. M. Ritter, and P. J. Chowienczyk, "Determination of age-related increases in large artery stiffness by digital pulse contour analysis," Clin. Sci., vol. 103, pp. 371-7, Oct 2002.
    [15] N. Mahri, G. K. Beng, and M. A. Mohd, "Best pulse selection of photoplethysmography signal through comparative method," in International Conference on Biomedical Engineering(ICoBE), pp.389-392, 2012.
    [16] J. Spigulis, I. Kukulis, E. Fridenberga, and G. Venckus, "Potential of advanced photoplethysmography sensing for noninvasive vascular diagnostics and early screening, " in Proc. SPIE (Biomedical Optics Symposium BIOS ’02, San Jose, USA), pp. 48 -53, 2002..
    [17] B. H. Jae, K. J. Soo, K. Y. Sung, L. H. Bit, and P. K. Suk, "Second derivative of photoplethysmography for estimating vascular aging," in International Special Topic conference on Information Technology Applications in Biomedicine, pp. 70-72, 2007.
    [18] J. Hashimoto, K. Chonan, Y. Aoki, T. Nishimura, T. Ohkubo, A. Hozawa, M. Suzuki, M. Matsubara, M. Michimata, T. Araki, and Y. Imai, "Pulse wave velocity and the second derivative of the finger photoplethysmogram in treated hypertensive patients: their relationship and associating factors," J Hypertens., vol. 20, pp. 2415-22, Dec 2002.
    [19] K. Takazawa, N. Tanaka, M. Fujita, O. Matsuoka, T. Saiki, M. Aikawa, S. Tamura, and C. Ibukiyama, "Assessment of vasoactive agents and vascular aging by the second derivative of photoplethysmogram waveform," Hypertension, vol. 32, pp. 365-370, Aug 1998.
    [20] C. Wei, L. Sheng, and G. Lihua, "Study on conditioning and feature extraction algorithm of photoplethysmography signal for physiological parameters detection," in 4th International Congress on Image and Signal Processing, pp. 2194-2197,2011.
    [21] J. Allen and A. Murray, "Age-related changes in peripheral pulse timing characteristics at the ears, fingers and toes," Journal of Human Hypertension, vol. 16, pp. 711-7, Oct 2002.
    [22] J. Allen and A. Murray, "Variability of photoplethysmography peripheral pulse measurements at the ears, thumbs and toes," IEE Proceedings-Science Measurement and Technology, vol. 147, pp. 403-407, Nov 2000.
    [23] C.D. Maria, E. sharkey, A. Klinge, D. Zheng, A. Murray, J. O’Sullivan, and J. Allen, "Feasibility of monitoring vascular ageing by multi-site photoplethysmography, " Computers in Cardiology, vol.39, pp. 817-820, 2012.
    [24] http://www.mathworks.com/matlabcentral/fileexchange/25500-peakfinder
    [25] J.Y. Lai, Design of A Real-Time System for Dynamically Measuring and Analyzing the Peripheral Blood Flow Waveform, Master Thesis, Department of Electrical Engineering, NCKU, 2003
    [26] H. S. Shin, C. Lee, and M. Lee, "Adaptive threshold method for the peak detection of photoplethysmographic waveform," Comput. Biol. Med., vol. 39, pp. 1145-52, Dec 2009.
    [27] S.Y. Young, Waveform Measurement, Analysis and Applications of Peripheral Blood Flow, Master Thesis, Department of Electrical Engineering, NCKU, 2002
    [28] Y. Y. Gu and Y. T. Zhang, "A correlation study on the features of photoplethysmographic signals," in Computer Architectures for Machine Perception, pp. 107-110, 2003.
    [29] W. Chen, S. Lei, L. Guo, Y. Chen, and M. Pan, " Study on conditioning and feature extraction algorithm of photoplethysmography signal for physiological parameters detection," in Image and Signal Processing (CISP), vol. 4, pp. 2194–2197, 2011.

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