跳到主要內容

簡易檢索 / 詳目顯示

回結果列表
研究生： 馬慶聖
Rizal Maulana
論文名稱： 使用主動噪音消除法以削減光體積描記術之心率訊號上的動作雜訊
Removing Motion Artifact from Heart Rate Signal of Photoplethysmography Using Active Noise Cancellation
指導教授： 蔡章仁
Jang-Zern Tsai
Wijono
Wijono
口試委員:
學位類別： 碩士
Master
系所名稱： 資訊電機學院 - 電機工程學系
Department of Electrical Engineering
論文出版年： 2014
畢業學年度： 102
語文別： 英文
論文頁數： 107
中文關鍵詞： 心率 、光體積描記術 、動作雜訊 、加速度計 、主動噪音消除
外文關鍵詞： Heart rate, PPG, Motion Artifact, Accelerometer, Active Noise Cancellation
相關次數： 點閱：21  下載：0 
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報

    • 本研究的目的為降低應用於穿戴式裝置的心率偵測系統因動作雜訊引起的偵測誤差；此系統的心率訊號是使用光體積描記術(Photoplethysmography, PPG)從人體感測而得到的。本研究所設計的PPG感測系統包含PWM調變器、紅外線LED、光敏電阻 (LDR) 、 PWM解調器、高通濾波器、低通濾波器、和增益放大電路。此外，本研究利用三軸加速度感測器來取得PPG感測器位置的人體動作訊號，其輸出的訊號可能與心率訊號裡的動作雜訊有相當大的關聯性。加速度感測器之輸出訊號與PPG訊號被取樣並轉換為數位訊號後輸入至個人電腦內，使用MATLAB程式進行心率的偵測以及降低動作雜訊對心率偵測的干擾。主動噪音消除(ANC)演算法被用來還原因受到動作雜訊影響而造成失真的心率訊號，其中加速度感測器之輸出訊號是ANC的參考訊號。本研究之ANC演算法的性能經過實驗驗證，比較的標準是市售的一款心率帶。本研究設計的系統在有小動作干擾時的心率誤差為3.52%，在有大動作干擾時為8.81%，而在1 Hz的動作干擾下為4.32%。本研究證明了主動噪音消除法適合用來降低PPG心率訊號裡的動作雜訊，即使動作雜訊的頻率接近心跳的頻率亦然。

    This research was aimed at reducing the error caused by motion artifacts in a heart rate detection system to be applied in wearable devices. The heart rate signal was obtained by using the photoplethysmography (PPG) sensor. The PPG sensor we designed consists of a PWM modulator, an infrared LED, a light dependent resistor (LDR), a demodulator, a high-pass filter, a low-pass filter, and an amplification circuit. Furthermore, a 3-axis accelerometer sensor was used to sense the body motion at the PPG sensor site. The output of the accelerometer sensor may have a considerable correlation with the motion artifact in the heart rate signal. Both the PPG heart rate signal and the accelerometer output signal were sampled and digitized through a data acquisition system of a personal computer. The reduction of motion artifact and the heart rate detection were conducted by the MATLAB program in the computer. Taking the accelerometer output signal as the reference signal, an active noise cancellation (ANC) algorithm recovered the corrupted heart rate signal from motion artifact. The performance of the active noise cancellation is evaluated using a commercial heart-rate belt as the golden standard. The heart rate detection error of our system is 3.52% with a small motion, 8.81% with a big motion, and 4.32% with a 1-Hz motion. The result of our experiments proves that the active noise cancellation method is suitable for removing motion artifact from heart rate signal even if there is overlapping between the spectra of the motion artifact and the heart rate signal.

    ABSTRACT (Chinese) i ABSTRACT (English) ii ACKNOWLEDGEMENT iii LIST OF FIGURES vii LIST OF TABLES xii CHAPTER I: INTRODUCTION 1 1.1 Background and Motivation 1 1.2 Objectives 2 CHAPTER II: LITERATURE REVIEW 3 2.1 Human Heart 3 2.2 Heart Rate 4 2.3 Photoplethysmography 5 2.4 Accelerometer 8 2.5 Light Emitting Diode 10 2.6 Light Dependent Resistor 13 2.7 Filter 14 2.8 Non-Inverting Amplifier 17 2.9 Data Acquisition 19 2.10 Adaptive Filter 22 CHAPTER III: METHODOLOGY 25 3.1 System Design 25 3.2 Hardware Design 27 3.2.1 Power Supply Design 27 3.2.2 Modulator Design 27 3.2.3 PPG Sensor Design 28 3.2.4 Filter and Amplifier Design 31 3.2.5 Accelerometer Signal Conditioning Design 33 3.2.6 Data Acquisition 34 3.2.7 Adaptive Filter 36 3.3 Software Design 37 3.4 Experimental Design 39 CHAPTER IV: RESULTS AND DISCUSSION 40 4.1 Power Supply Circuit Experiment 40 4.2 PWM Circuit Experiment 43 4.3 PPG Sensor Circuit Experiment 45 4.4 Demodulator Circuit Experiment 46 4.5 High-Pass Filter Circuit Experiment 47 4.6 Non-Inverting Amplifier Circuit Experiment 50 4.7 Low-Pass Filter Circuit Experiment 52 4.8 Accelerometer Circuit Experiment 54 4.8.1 X-Axis Experiment 55 4.8.2 Y-Axis Experiment 56 4.8.3 Z-Axis Experiment 57 4.9 Data Acquisition Hardware Experiment 59 4.10 Overall Hardware Experiment 60 4.10.1 PPG Circuit 61 4.10.2 Accelerometer Circuit 65 4.11 Measurement Heart Rate Without Motion 66 4.12 Measurement Heart Rate With Active Noise Cancellation 71 CHAPTER V: CONCLUSION 83 5.1 Conclusion 83 5.2 Future work 84 REFERENCES 85 APPENDIX 88

    1. J. Kim, M. Hee Lee, H.K. Lee, K. Choi, S. Bang, and S. Kim, “Heart Rate Monitor for Portable MP3 Player,” IEEE Engineering in Medicine and Biology 27th Annual Conference, pp.5207–5210, 2005.
    2. A.V. Challoner, and C.A. Ramsay, “A Photoelectric Plethysmograph for the Measurement of Cutaneous Blood Flow,” Physics in Medicine and Biology 19(3) : 317-28, 1974.
    3. W. Nguyen, and H. Ryan, “Heart-Rate Monitoring Control System Using Photoplethysmography,” California State University San Luis Obispo, California, 2011.
    4. A.A. Kamal, J.B. Harness, G. Irving, and A.J. Mearns, “Skin Photolethysmography – a Review,” Computer Methods and Program in Biomedical 28 : 257-69, 1989.
    5. “Human Heart : Anatomy, Function & Facts”. url : http://www. livescience.com/34655-human-heart.html (accessed June 4, 2014), 2013.
    6. “Human Heart”. url : http://en.wikipedia.org/wiki/Human_heart (accessed June 4, 2013), 2013.
    7. “The Heartbeat”. url : http://www.texasheartinstitute.org/HIC/Anatomy/ systole.cfm (accessed June 7, 2014), 2013.
    8. J. Hopkins, “Vital Signs (Body Temperature, Pulse Rate, Respiration Rate, Blood Pressure),” John Hopkins Health Library, Baltimore, US, 2001.
    9. National Institutes of Health, “Pulse,” Medline Plus, US National Library of Medicide, Bethesda, US, 2002.
    10. S.H. Kim, D.W. Ryoo, and C. Bae, “Adaptive Noise Cancellation Using Accelerometers for the PPG Signal from Forehead,” Proceedings of the 29th Annual International Conference of the IEEE EMBS, August 23-26, Lyon, France, 2007.
    11. H. Han and J. Kim, “Artifacts in Wearable Photoplethysmography During Daily Life Motion and Their Reduction,” Computers in Biology and Medicine 42 : 387-393, 2012.
    12. C.J. Pujary, “Investigation of Photodetector Optimization in Reducing Power Consumption by a Noninvasive Pulse Oximeter Sensor,” Worchester Polytechnic Institute, Worchester, USA, 2004.
    13. “Accelerometers”. url : http://www.engineersgarage.com/article/ accelerometer (accessed June 15, 2014), 2012.
    14. “Understanding Acceleration and Choosing an Accelerometer”. url : http://www.ni.com/white-paper/3807/en/ (accessed June 15, 2014), 2013.
    15. “LED”. The American Heritage Science Dictionary, Houghton Mifflin Company, 2005.
    16. “Light Emitting Diode”. url : http://en.wikipedia.org/wiki/Light-emitting_diode (accessed June 20, 2014), 2014.
    17. “The Light Emitting Diode”. url : http://www.electronics-tutorials.ws/diode/diode_8.html (accessed June 20, 2014), 2014.
    18. “Photoresistor”. url : http://en.wikipedia.org/wiki/Photoresistor (accessed June 23, 2014), 2014.
    19. “Basics of Light Dependent Resistor”. url : http://madinaa.ucoz.com /forum/15-115-1 (accessed June 23, 2014), 2012.
    20. “Light Dependent Resistor”. url : http://www.radio-electronics.com/info/ data/resistor/ldr/light_dependent_resistor.php (accessed June 24, 2014), 2011.
    21. B.C. Gabrielson, “Basic Active and Passive Filters,” Security Engineering Services, Chesapeake Beach, Maryland, USA, 2008.
    22. H.G. Demopoulos, “Analog Electronic Filters,” Springer, Lithuania, 2012.
    23. “Operational Amplifier Basics”. url : http://www.electronics-tutorials.ws/ opamp/opamp_1.html (accessed June 29, 2014), 2014.
    24. G.B. Clayton and S. Winder, “Operational Amplifiers (EDN Series for Design Engineers),” Newnes, 5th editioin, 2003.
    25. H.P. Halvorsen, “Data Acquisition,” Telemark University Colloge, Norway, 2009.
    26. “NI USB-6008 Datasheet”. url : http://sine.ni.com/ds/app/doc/p/id/ds-218/ lang/en (accessed July 2, 2014), 2012.
    27. S.C. Douglas, “Introduction to Adaptive Filters,” CRC Press LLC, 1999.
    28. J.A. Apolin and S.L. Netto, “QRD-RLS Adaptive Filtering,” Apolinario Jr, 2009

    QR CODE
    :::