 |
|
|
|
以作者查詢圖書館館藏 、以作者查詢臺灣博碩士 、以作者查詢全國書目 、勘誤回報 、線上人數：22 、訪客IP：3.144.251.117
姓名 白家豪(Jia-hao Bai) 查詢紙本館藏 畢業系所 電機工程學系 論文名稱 基於超寬頻雷達之非接觸式心跳率及呼吸率監護系統
(Non-contact Heartbeat Rate and Respiration Rate Monitoring system Based on UWB Radar)相關論文 檔案 [Endnote RIS 格式]
[相關文章]
[文章引用]
[完整記錄]
[館藏目錄]
[檢視]
- 本電子論文使用權限為同意立即開放。
- 已達開放權限電子全文僅授權使用者為學術研究之目的，進行個人非營利性質之檢索、閱讀、列印。
- 請遵守中華民國著作權法之相關規定，切勿任意重製、散佈、改作、轉貼、播送，以免觸法。
摘要(中) 傳統監護心跳率與呼吸率皆需使用接觸式方式進行量測，其線路連接
與電極黏貼將造成受測者之不便與皮膚不適，因此本論文將以開發非接觸
式量測心跳率與呼吸率監護系統為主軸，提供受測者更加舒適的環境，而在
本論文將以UWB 雷達進行開發非接觸式心跳率與呼吸率監護介面。
先前的研究顯示UWB 雷達系統可被使用於遠程生命象徵監護，且主要
應用於救災和健康監護。在本篇論文中所使用之UWB 雷達回波訊號包含多
個深度資訊，因此開發自動目標深度收尋機制，再對該深度UWB 雷達回波
進行分析人體訊號，並開發偵測胸腔移動以計算心跳與呼吸個數機制。
最後透過量測不同受測者驗證本論文所提之機制，其實驗結果顯示心
跳次數及呼吸次數正確率皆可達95%以上。摘要(英) Traditionally, heart rate and respiratory measurement require contacting
directly to skin, which will let the patient feel uncomfortable and inconvenient
due to the attachment of electrode and the wires. Therefore, this paper develops a
contactless measurement of heart rate and respiratory rate monitoring system,
which provides the user a comfortable way for measuring the heartbeat and
breathing signal. The interface of the system is developed based on the UWB radar.
Previous studies have shown that the UWB radar and be used for remote vitalsigns
monitoring, mainly applied in health monitoring and rescue scenarios. The
UWB radar echo signal used in this paper contains many depths information. In
order to find the depth of the target, this paper develops an automatic method.
After having the target depth, we analyze the physiology signal from the echo
signal to develop a method for calculating the heartbeat and breathing number by
measuring the displacement of chest.
The method is verified by the experimental results from serval subjects, and the
results show that the proposed system can achieve more than 95% accuracy rate
of heartbeat and breathing number.關鍵字(中) ★ 超寬頻雷達
★ 非接觸式量測
★ 心跳率與呼吸率監護系統關鍵字(英) ★ Ultra Wide Band Radar
★ Contactless Measurement
★ Heartbeat Rate and Respiration Rate Monitoring system論文目次 摘要 ........................................................................................................................ I
ABSTRACT ........................................................................................................ II
誌謝 .................................................................................................................... III
目錄 ..................................................................................................................... IV
圖目錄 ............................................................................................................... VII
表目錄 .................................................................................................................. X
第一章 緒論 ....................................................................................................... 1
1.1 研究動機 ................................................................................................... 1
1.2 文獻探討 ................................................................................................... 1
1.3 研究目的與方法 ....................................................................................... 3
第二章 人體心臟與呼吸系統原理 ................................................................... 4
2.1 心動週期的機械效應 ............................................................................... 4
2.1.1 舒張中期到舒張末期(Mid-Diastole to Late Diastole) ............ 7
2.1.2 收縮期(systole) ......................................................................... 7
2.1.3 舒張初期(Early Diastole) ......................................................... 9
2.2 呼吸系統的組織 (ORGANIZATION OF THE RESPIRATORY SYSTEM)......... 10
2.2.1 吸氣(Inspiration) ..................................................................... 10
2.2.2 呼氣(Expiration) ..................................................................... 12
第三章 超寬頻雷達(ULTRA-WIDEBAND RADAR) ................................. 15
3.1 超寬頻技術 (ULTRA-WIDEBAND TECHNOLOGY).................................... 15
v
3.2 UWB 系統模組....................................................................................... 18
3.2.1 發送訊號(Transmitted Signal)................................................ 18
3.2.2 目標模型(Target Model)......................................................... 19
3.2.3 通道模型(Channel Model) ..................................................... 20
3.2.4 接收訊號(Received Signal) .................................................... 21
第四章 UWB 雷達目標深度搜尋機制 ...................................................... 22
4.1 設計動機 ................................................................................................. 22
4.2 數位濾波器 ............................................................................................. 24
4.3 快速傅立葉轉換(FFT) ........................................................................... 26
4.4 目標深度搜尋機制流程 ......................................................................... 28
第五章 UWB 雷達非接觸式呼吸率及心跳率分析機制 .......................... 29
5.1 設計動機 ................................................................................................. 29
5.2 分析方法 ................................................................................................. 32
5.2.1 斜率偵測 ................................................................................. 32
5.2.2 定義閥值 ................................................................................. 34
5.3 呼吸率及心跳率分析機制流程 ............................................................. 35
5.4 初步成果展示 ......................................................................................... 36
第六章 實驗與討論 ......................................................................................... 38
6.1 環境介紹 ................................................................................................. 38
6.1.1 UWB 雷達............................................................................... 39
6.1.2 生醫放大器(Bio Amp)............................................................ 43
6.1.3 呼吸帶(Respiratory Belt Transducer) ..................................... 45
6.1.4 資料擷取(DAQ) ..................................................................... 46
6.2 實驗步驟介紹 ......................................................................................... 47
vi
6.2.1 參數設定 ................................................................................. 47
6.2.2 實驗結果 ................................................................................. 50
6.2.2.1 心跳率量測實驗 ......................................................................... 52
6.2.2.2 呼吸率量測實驗 ......................................................................... 58
6.2.2.3 即時監護界面 ............................................................................. 62
第七章 結論與未來展望 ................................................................................. 63
7.1 結論 ......................................................................................................... 63
7.2 未來展望 ................................................................................................. 64
參考文獻 ............................................................................................................. 65參考文獻 [1] 邱裕仁、楊哲彰、謝建興、徐業良，「以血氧連續脈動訊號擷取心率
訊號」，老人福祉科技研究中心，2009。
[2] C. C. Chong, F. Watanabe, and H. Inamura, ”Potential of UWB
Technology for the Next Generation Wireless Communications ”, in Proc.
9th IEEE Int. Sym. Spread Spectrum Tech. Appl., Aug. 2006, pp. 422-
429.
[3] 王錫崗、王凱立等編譯，「人體生理學：身體功能之運轉」，藝軒圖
書，台北，2012。
[4] Sun J. and M. Li, “Life detection and location methods using UWB
impulse radar in a coal mine”, Mining Science and Technology, Vol. 21,
689-691, 2011.
[5] J. C. Y. Lai, Y. Xu, E. Gunawan, E. C.-P. Chua, A. Maskooki, Y. L. Guan,
K.-S. Low, C. B. Soh, and C.-L. Poh, “Wireless sensing of human
respiratory parameters by low-power ultrawideband impulse radio radar
“, IEEE Trans. Instrum. Meas., vol. 60, no. 3,pp. 928-938, Mar. 2011.
[6] A. Kumar, Z. Li, Q. Liang, B. Zhang, and X. Wu, “Experimental study
of through-wall human detection using ultra wideband radar sensors”,
Measurement, vol. 47, pp. 869-879, Jan. 2014.
[7] J. Li, L. Liu, Z. Zeng, and F. Liu, ”Advanced signal processing for vital
sign extraction with applications in UWB radar detection of trapped
victims in complex environment”, IEEE J. Sel. Topics Appl. Earth
Observ. Remote Sens., vol. 7, no. 3, pp. 1-9, Mar. 2014.
[8] Y. Xu, S. Dai, S. Wu, j. Chen, and G. Fang, “Vital sign detection method
based on multiple higher order cumulant for ultra-wideband radar”, IEEE
Trans. Geosci. Remote Sens., vol. 48. no. 4, pp. 2005-2014, Apr. 2010.
[9] A. L. Warrick and P. A. Delaney, “The Effect of Frequency Domain
66
Measurement Errors on the Time Domain Signal,” Proc. Twenly-seventh
A silo m a r Co n f. Sign a Is, S ys t e ms, CO m pu t e rs, pp. 1067-1071,
November 1993.
[10] Chang CC, Hsiao TC, Hsu HY, “Frequency range extension of spectral
analysis of pulse rate variability based on Hilbert-Huang transform”,
Medical & Biological Engineering & Computing 52(4):343-351, 2014.
[11] Eric P. Widmaier, Hershel Raff, Kevin T. Strang, “Vander’s Human
Physiology: The Mechanisms of Body Function”, 12th, McGraw Hill,
2010.
[12] Berk Gülmezoǧlu, “Indoor Multi-Person Tracking Via Ultra-Wideband
Radars”, Bilkent University, Master, 2014.
[13] Z. Sahinoglu, S. Gezici, and I. Guvenc, “Ultra-Wideband Positioning
Systems: Theoretical Limits, Ranging Algorithms, and Protocols”,
Cambridge, U. K, 2008.
[14] “ Revision of part 15 of the commission’s rules regarding ultrawideband
transmission systems”, Federal Communications Commission,
Washington, D.C., Tech. Rep. ET Docket 98-153, April 2002.
[15] M. Z. Win and R. A. Scholtz, “Impulse radio: how it works”,
Communications Lett, IEEE, vol. 2, pp. 36-8, February 1998.
[16] X. Chen and S. Kiaei, “Monocycle shapes for ultra wideband system”, in
IEEE International Symposium on Circuits and Systems, 2002.
[17] Chen-Hao Hong, Jen-Ming Wu, “Heartbeat Rate Estimation Using UWB
Pulse Radar”, National Tsing Hua University, Master, November 2011.
[18] E. M. Staderini, “UWB radars in medicine”, in IEEE AESS (Aerospace
& Electronic Systems Society) System Magazine, January 2002, pp. 13-
18.
[19] 彭韶華，「Chirp 視覺誘發電位為基礎之大腦人機介面-FPGA 實現」，
國立中央大學電機工程學系，碩士論文，民國一○二年六月。
67
[20] J. W. Cooley and J. W. Tukey, “An algorithm for the machine calculation
of complex Fourier series”, Math. Comput., vol. 19, pp. 297-301, April
1965.
[21] 周俞璋，「整數型態之FFT 的實作與改進，及其在語音辨識之應用」，
國立清華大學積體電路設計專班，碩士論文，民國九十六年一月。
[22] Alan V. Oppenheim, Ronald W. Schafer with John R., “Buck Discrete-
Time Signal Processing”, 2th Edition.
[23] 李德治，「實用微積分」，博碩文化，台灣，2011。
[24] Time Domain Corporation, “PulsON® 410 Data Sheet”.
[25] ADINSTRUMENTS, “Front-end Signal Conditioners Owner’s Guide”.
[26] Respiratory Belt Transducer,
http://www.adinstruments.com/products/respiratory-belt-transducer
[27] NATIONAL INSTRUMENTS Corporation, ”NI Compact DAQ USB
Data Acquisition systems”, 2014.
[28] NATIONAL INSTRUMENTS Corporation, ”NI 9237 ±5V, IEPE and
AC/DC Analog Input, 51.2kS/s/ch, 4Ch Module”, 2014.
[29] Time Domain Corporation, “MRMsampleApp P4xx module”,
http://www.timedomain.com/p400-mrm.php
[30] Time Domain Corporation, “Monostatic Radar Module Reconfiguration
and Evaluation Tool (MRM RET) User Guide PulsON® 410”, 2012.指導教授 徐國鎧(Kuo-Kai Shyu) 審核日期 2015-7-28 推文 plurk
funp
live
udn
HD
myshare
netvibes
friend
youpush
delicious
baidu
網路書籤 Google bookmarks
del.icio.us
hemidemi
facebook
twitter
google
reddit