Responsive image
博碩士論文 etd-0725115-221152 詳細資訊
Title page for etd-0725115-221152
論文名稱
Title
利用雙基自我注入鎖定雷達之胸戴式健康監測器
Chest-Worn Health Monitor Based on a Bistatic Self-Injection-Locked Radar
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
72
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2015-08-18
繳交日期
Date of Submission
2015-08-25
關鍵字
Keywords
計步器、無線傳輸、時頻譜圖、自我注入鎖定雷達、雙基、都卜勒連續波雷達、心肺感測器、穿戴式健康監測器
wireless transmission, cardiopulmonary sensor, Wearable health monitor, acceleration, time-frequency spectrogram, self-injection-locked (SIL) radar, bistatic, pedometer, Doppler continuous-wave radar
統計
Statistics
本論文已被瀏覽 5720 次,被下載 0
The thesis/dissertation has been browsed 5720 times, has been downloaded 0 times.
中文摘要
本論文將呈現以連續波都卜勒雷達技術的穿戴式健康監測器,雷達架構主要為雙基形式雷達,其中包含自我注入鎖定振盪器之標籤電路以及注入鎖定振盪器之頻率解調單元,具有低複雜度、低功耗以及即時無線傳輸之特性,實現穿戴型裝置的健康監測。
在本論文的實驗中,自我注入振盪器之標籤電路的頻率操作於2.36 到2.484 GHz之間,其頻帶為醫學人體區域網路以及工業科學醫用頻段,首先將標籤電路固定於致動器上方之金屬板,致動器進行折返運動並量測其折返加速度,接著標籤電路將貼附於受測者胸腔,發射訊號偵測到由心肺活動和身體運動造成的胸腔起伏變化,並產生頻率調變,然後傳送至距離受測者三十公分處的具有注入鎖定振盪器之頻率解調單元,訊號經由天線接收和進行頻率解調,獲得與胸腔起伏變化相關的波形資訊。
最後基頻訊號進一步使用數位信號處理,並呈現心肺活動和身體運動之資訊於時頻譜圖上,本論文的實驗數據意味著利用單一雷達能結合心肺感測器、計步器以及無線傳輸之功能,於未來在穿戴式裝置上相當具有發展性。
Abstract
This thesis presents wearable health monitors that are based on continuous-wave Doppler radar technology. To achieve low complexity, low power consumption and simultaneous wireless transmission of Doppler information, the radar architecture is bistatic with a self-injection-locked oscillator (SILO) tag and an injection-locked oscillator (ILO)-based frequency demodulator. In experiments with a prototype that was operated in the Medical Body Area Network (MBAN) and the Industrial Scientific and Medical (ISM) bands from 2.36 to 2.484 GHz, the actuator with a metal plate is used to perform a linear movement with adjustable displacement. First, the SILO tag is attached to the metal and measures the acceleration of actuator from forth to back,then the SILO tag is attached to the chest of a subject to transform the movement of the chest due to cardiopulmonary activity and body exercise into a transmitted frequency modulated wave.The ILO-based frequency demodulator, located 30 cm away from the subject, receives and processes this wave to yield the waveform that is associated with the movement of the chest. Following further digital signal processing, the cardiopulmonary activity and body exercise are displayed as time-frequency spectrograms.Promisingly, the experimental results that are presented in this thesis reveal that the proposed health monitor has high potential to integrate a cardiopulmonary sensor, a pedometer and a wireless transmission device on a single radar platform.
目次 Table of Contents
論文審定書 i
誌謝 ii
摘要 iii
Abstract iv
目錄 v
圖次 vii
表次 x
第一章 緒論 1
1.1 研究背景與動機 1
1.2 可攜式健康監測器 3
1.3 論文章節組織 10
第二章 胸戴式健康監測器設計理論 12
2.1 應用於健康監測器之自我注入鎖定理論 12
2.2 時頻分析原理 19
2.3 移動平均濾波器原理 21
第三章 胸戴式健康監測器實驗 24
3.1 胸戴式健康監測器電路 24
3.1.1 標籤電路設計 24
3.1.2 注入鎖定正交解調接收機 27
3.2 彈簧模型實驗 29
3.2.1 加速規實驗 29
3.2.2雷達彈簧模型架構 36
3.2.3加速規與雷達彈簧模型實驗之結果比較 42
3.3 健康監測實驗 44
3.3.1 運動行為 44
3.3.2 健康監測結果 45
第四章 結論 56
參考文獻 57
參考文獻 References
[1] Apple – Apple watch: https://www.apple.com/tw/watch/
[2] Apple – Nike + ipod:https://www.apple.com/tw/ipod/nike/
[3] B. Tan, K. Woodbridge, and K. Chetty,“A real-time high resolution passive WiFi Doppler-radar and its applications,” IEEE Int. Radar Conf., Oct. 2014, pp. 1-6.
[4] Ø. Aardal and J. Hammerstad, “Medical radar literature overview,”Norwegian Defence Research Establishment, FFI-rapport 2010/00958,2010.
[5] C. Gu et al., “ Accurate respiration measurement using DC-coupled continuous-wave radar sensor for motion-adaptive cancer radiotherapy,”IEEE Trans. Biomed. Eng., vol. 59, no. 11, pp. 3117–3123, Nov. 2012.
[6] C. Li et al., “A review on recent advances in Doppler radar sensors for noncontact healthcare monitoring,” IEEE Trans. Microw. Theory Tech.,vol. 61, no. 5, pp. 2046-2060, May 2013.
[7] J. Achten and A. E. Jeukendrup, “Heart rate monitoring,” Sports Medicine, vol. 33, no. 7, pp. 517-538, Jun. 2003.
[8] J. F. Thayer et al., “The relationship of autonomic imbalance, heart rate variability and cardiovascular disease risk factors,” Int. J. Cardiology,vol. 141, no. 2, pp. 122-131, May 2010.
[9] M. Vossiek and P. Gulden, “The switched injection-locked oscillator: a novel versatile concept for wireless transponder and localization systems,” IEEE Trans. Microw. Theory Tech., vol. 56, no. 4, pp. 859-866, Apr. 2008.
[10] A. Singh and V. M. Lubecke "Respiratory monitoring and clutter rejection using a CW Doppler radar with passive RF tags", IEEE Sens. J., vol. 12, no.3, pp.558 -565 2012
[11] T.-S. Horng, “Self-injection-locked radar: An advance in continuous-wave technology for emerging radar systems,” in Proc. Asia-Pacific Microwave Conf., pp.566-569, Nov. 2013.
[12] F.-K. Wang, T.-S. Horng, K.-C. Peng, and C.-C. Chen, “Combining SIL tag and IL receiver for concurrent vital sign and position sensing,”in Proc. IEEE Microwave Theory and Techniques Soc. Int. Microwave Symp. Dig.,Jun. 2–7, 2013.
[13] F.-K. Wang et al., “Single-antenna Doppler radar using self and mutual injection locking for vital sign detection with random body movement cancellation,” IEEE Trans. Microw. Theory Tech., vol. 59, no. 12, pp.3577-3587, Dec. 2011.
[14] F.-K. Wang et al., “Concurrent vital sign and position sensing of multiple individuals using self-injection-locked tags and injection-locked I/Q receivers with arctangent demodulation,” IEEE Trans. Microw. Theory Tech., vol. 61, no. 12, pp. 4689-4699, Dec.2013.
[15] National Instruments – 加速規原理:http://www.ni.com/white-paper/12/zht/
[16] D. H. Phan, S. Bonnet, R. Guillemaud, and N. Y. P. T. E. Castell i, “Estimation of respiratory waveform and heart rate using an accelerometer,” in Proc. IEEE Eng. Med. Biol. Soc. 30th Ann. Int. Conf., BC, Canada, 2008,pp. 4916–4919.
[17] 王志明,鈦酸鉛系焦電感測元件之研究,國立中山大學電機工程學系,民國八十八年。
[18] APEX – Pulse Oximetry Finger Monitor :http://apexmedicalcorp.com/index.php?sn=4287&lang=en-global&n=147
[19] Project – Maker Community Intel Galileo :http://intelmakercommunity.weebly.com/projects.html
[20] 壓電薄膜感測器在生命特徵監測方面的應用:http://www.seraphim.com.tw/upfiles/c_supports01333697623.pdf
[21] K. M. Chen, Y. Huang, J. Zhang and A. Norman, “Microwave life-detection systems for searching human subjects under earthquake rubble or behind barrier,” IEEE Trans. Biomed. Eng., vol.47, no. 1, pp. 105-114, Jan.2000.
[22] Lee, Y.S.; Pathirana, P.N.; Steinfort, C.L.; Caelli, T. Monitoring and analysis of respiratory patterns using microwave doppler radar. IEEE J. Transl. Eng. Health Med. 2014, 2, 1–12.
[23] C. Li and J. Lin, “Complex signal demodulation and random body movement cancellation techniques for non-contact vital sign detection,” in IEEE MTT-S Int. Microwave Symp. Dig., Atlanta, GA, Jun. 2008, pp. 567-570.
[24] B.-K. Park, O.-B. Lubecke and V.-M. Lubecke, “Arctangent demodulation with DC offset compensation in quad`rature Doppler radar receiver systems,” IEEE Trans. Microw. Theory Techn., vol. 55, no. 5, pp. 1073-1079, May 2007.
[25] C. Li and J. Lin, “Random body movement cancellation in Doppler radar vital sign detection,” IEEE Trans. Microw. Theory Techn., vol.56, no. 12, pp. 3143–3152, Dec. 2008.
[26] S. W. Smith, “Moving average filters,” in The Scientist and Engineer’s Guide to Digital Signal Processing, 1st ed. California: California Technical Pub, 1997, pp. 277-284.
[27] L. Cohen, “The short-time fourier transform,” in Time-Frequency Analysis, 1st ed. New Jersey: Prentice Hall PTR, 1995, pp. 93-110.
[28] S. Qian and D. Chen, “Joint time-frequency analysis,” IEEE Signal Processing Mag., vol. 16, no. 2, pp. 52-67, Mar. 1999.
[29] B. Y. Su et al., “Doppler radar fall activity detection using the wavelet transform,” IEEE Trans. Biomed. Eng., vol. 62, no. 3, pp. 865-875, Feb.2015.
[30] Y. Wang, Q. Liu, A. Fathy, "CW and pulse-Doppler radar processing based on FPGA for human sensing applications," IEEE Transactions on Geoscience and Remote Sensing, vol. 51, no. 5, part 2, May 2013.
[31] R. Adler, “A study of locking phenomena in oscillators,” Proc. IRE, vol. 34, no. 6, pp. 351-357, Jun. 1946.
[32] C.-T. Chen, C.-H. Hsiao, T.-S. Horng, K.-C. Peng and C.-J. Li, “Cognitive polar receiver using two injection-locked oscillator stages,” IEEE Trans. Microw. Theory Tech., vol. 59, no. 12, pp. 3484-3493, Dec. 2011.
[33] M. Stridh et al., “Sequential characterization of atrial tachyarrhythmias based on ECG time-frequency analysis,” IEEE Trans. Biomed. Eng.,vol. 51, no. 1, pp. 100-114, Jan. 2004.
[34] Y. Kim and H. Ling, “Human activity classification based on micro-Doppler signatures using a support vector machine,” IEEE Trans.Geosci. Remote Sens., vol. 47, no. 5, pp. 1328-1337, May 2009.
[35] S. Bakhtiari et al., “Compact millimeter-wave sensor for remote monitoring of vital signs,” IEEE Trans. Instum. Meas., vol. 61, no. 3, pp.830-841, Mar. 2012.
[36] F. Wang et al., “Quantitative gait measurement with pulse-Doppler radar for passive in-home gait assessment,” IEEE Trans. Biomed. Eng.,vol. 61, no. 9, pp. 2034-2043, Sep. 2014.
[37] 方佳暉,含有自我注入鎖定振盪器之有源標籤用於室內定位生理訊號,國立中山大學電機工程學系,民國一百零二年。
[38] Zaber Technologies Inc. Zaber WIKI Available:http://www.zaber.com/wiki/Software/Zaber_Console
[39] Zaber Technologies Inc. Zaber WIKI Available:http://www.zaber.com/wiki/Manuals/A-LSQ-E
[40] Analog Devices Inc. MEMS Accelerometer Available:http://www.analog.com/media/en/technical-documentation/data-sheets/ADXL335.pdf
[41] F.-K. Wang et al., “A novel vital-sign sensor based on a self-injection-locked oscillator,” IEEE Trans. Microw. Theory Tech., vol. 58, no. 12,pp. 4112–4120, Dec. 2010.
[42] Fu-Kang Wang, Tzyy-Sheng Horng, Kang-Chun Peng, Je-Kuan Jau, Jian-Yu Li and Cheng-Chung Chen, "Detection of concealed individuals based on their vital signs by using a see-through-wall imaging system with a self-injection-locked radar," IEEE Trans. Microw. Theory Tech., vol. 61,no. 1, pp. 696-704, Jan. 2013
[43] Medical Body Area Networking (MBAN):http://www.cwins.wpi.edu/workshop11/ppt/standard_Raymond.pdf
[44] ISM band Definition from PC Magazine Encyclopedia:http://www.pcmag.com/encyclopedia/term/45467/ism-band
電子全文 Fulltext
本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。
論文使用權限 Thesis access permission:自定論文開放時間 user define
開放時間 Available:
校內 Campus:永不公開 not available
校外 Off-campus:永不公開 not available

您的 IP(校外) 位址是 18.119.123.32
論文開放下載的時間是 校外不公開

Your IP address is 18.119.123.32
This thesis will be available to you on Indicate off-campus access is not available.

紙本論文 Printed copies
紙本論文的公開資訊在102學年度以後相對較為完整。如果需要查詢101學年度以前的紙本論文公開資訊,請聯繫圖資處紙本論文服務櫃台。如有不便之處敬請見諒。
開放時間 available 永不公開 not available

QR Code