簡易檢索 / 詳目顯示

研究生: 楊佳蓁
Yang, Jia-Jhen
論文名稱: 無線新生兒心跳呼吸監控系統
A wireless system for monitoring heart rate and respiratory rate of neonates
指導教授: 張大緯
Chang, Da-Wei
學位類別: 碩士
Master
系所名稱: 電機資訊學院 - 資訊工程學系
Department of Computer Science and Information Engineering
論文出版年: 2016
畢業學年度: 104
語文別: 英文
論文頁數: 58
中文關鍵詞: 無線監控系統新生兒異常警告
外文關鍵詞: Wireless health monitoring, Neonates, Abnormal alarming
相關次數: 點閱:112下載:6
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
  • 傳統在醫院中正常新生兒的照護是以人工的方式每4-8小時量測一次新生兒的生命徵象,新生兒如果發生異常狀況需要等到下次量測生命徵象時才會被發現。若可以即早發現新生兒的異常狀況,護理人員就可以即早進行治療。在論文中我們提出了一套無線監控系統,用來監控新生兒的心跳與呼吸。若有異常狀況發生時,會透過手機與護理站的電腦有效的通知護理人員進行處理。本系統是透過量測心電圖訊號來計算新生兒的心跳與呼吸次數,系統量測到的心電圖訊號會透過IEEE 802.15.4的無線通訊協定傳到護理站的電腦即時顯示。我們提出的系統在沒有移動的傳送端可達到98%以上的資料完整率,在移動中傳送端也有95%以上的資料完整率。另外,使用了資料庫中新生兒的心電圖訊號和呼吸訊號來驗證心跳與呼吸計算的準確性,心跳與呼吸計算都分別有98%與95%的正確性,其中,心跳有計算的範圍為每分鐘99到174下,呼吸有計算的範圍為每分鐘28到79下。總結,本系統提供了新生兒異常的主動警報,並且在無線傳輸上有高的資料完整性以及在心跳呼吸計算上有高的正確率,本系統可以增進正常新生兒在醫院的安全性。

    Traditionally, the healthcare for normal neonates in hospitals is to manually measure vital signs every 4-8 hours. The health status of neonates between successive measurements is unknown, which cannot detect the abnormal status immediately. If the abnormal heart rates and respiratory rates are detected as soon as possible, the abnormal statuses can be treated immediately. Our system provides a wireless monitoring system for heart rate and respiratory rate of normal neonates in the hospitals. When abnormal status is detected, the system will directly alarm the nursing staff through the phone and station, allowing the nursing staff to handle the event immediately. The heart rates and respiratory rates are calculated from ECG signal. The ECG signals are transmitted by IEEE 802.15.4 communication technology. The proposed system achieved more than 98% received data integrity with static transmitters and more than 95% received data integrity with moved transmitters. In addition, the accuracies of heart-rate and respiratory-rate computation are 98.74% and 95.75%, respectively. The computational range of heart rates are between 99 beats/min and 174 beats/min, and computational range of respiratory rates are between 28 times/min and 79 times/min. Summary, the proposed system supplies actively alarm and performs high received data integrity and high accuracies of computations. It is able to enhance the safety of normal neonates in the hospital.

    摘 要 I ABSTRACT II 誌 謝 III CONTENT IV LIST OF TABLES VI LIST OF FIGURES VII CHAPTER 1 INTRODUCTION 1 CHAPTER 2 RELATED WORK 4 2.1 HEART-RATE DETECTION 4 2.2 RESPIRATORY-RATE DETECTION 4 2.3 WIRELESS HEALTHCARE MONITORING 6 CHAPTER 3 SYSTEM DESIGN AND IMPLEMENTATION 7 3.1 OVERVIEW 7 3.2 HARDWARE IMPLEMENTATION 9 3.2.1 Sensor module 9 3.2.2 Microcontroller module 11 3.2.3 USB dongle and Arduino module 13 3.3 SOFTWARE IMPLEMENTATION 14 3.3.1 Data acquisition 15 3.3.2 Wireless transmission 15 3.3.3 Time slot assignment 17 3.3.4 Command packet handling 19 3.3.5 Data format conversion 19 3.3.6 Graphical user interface 20 3.3.7 User command handling 21 3.3.8 Heart rate and respiratory rate calculation 21 3.3.9 Packet loss compensation 22 3.3.10 Alarming 23 CHAPTER 4 PERFORMANCE EVALUATION 25 4.1 BATTERY LIFETIME 25 4.2 EVALUATION OF DATA RECORDING AND WIRELESS TRANSMISSION 25 4.2.1Wireless performance of static transmitters 26 4.2.2 Effect of moved transmitter 32 4.2.3 Simulating interference of obstacle 35 4.2.4 Effect of Dynamic joining and removing 38 4.2.5 Effect of crossing receivers 42 4.3 VERIFICATION AND EVALUATION OF HEART RATE AND RESPIRATORY RATE 44 4.3.1 Verification of heart- rate and respiratory- rate computation 44 4.3.2 Evaluation of heart- rate and respiratory- rate computation with loss packet 49 CHAPTER 5 DISCUSSION AND CONCLUSION 53 REFERENCES 56

    [1] J. PARAK, "Heart Rate Detection from Ballistocardiogram," in Proceedings of International Student Conference on Electrical Engineering, 2012, pp. 1-5.
    [2] J. Pan and W. J. Tompkins, "A real-time QRS detection algorithm," IEEE transactions on biomedical engineering, pp. 230-236, 1985.
    [3] V. X. Afonso, W. J. Tompkins, T. Q. Nguyen, and S. Luo, "ECG beat detection using filter banks," IEEE transactions on biomedical engineering, vol. 46, pp. 192-202, 1999.
    [4] N. Akshay, N. A. V. Jonnabhotla, N. Sadam, and N. D. Yeddanapudi, "ECG noise removal and QRS complex detection using UWT," in Electronics and Information Engineering (ICEIE), 2010 International Conference On, 2010, pp. V2-438-V2-442.
    [5] T.-J. Tun, "Development of a Wrist-type Pulse Recording System and Its Application," National Cheng Kung University, 2015.
    [6] F. Q. AL‐Khalidi, R. Saatchi, D. Burke, H. Elphick, and S. Tan, "Respiration rate monitoring methods: a review," Pediatric pulmonology, vol. 46, pp. 523-529, 2011.
    [7] W. Daw, R. Kingshott, R. Saatchi, D. Burke, A. Holloway, J. Travis, et al., "Medical Devices for Measuring Respiratory Rate in Children," Journal of Advances in Biomedical Engineering and Technology, vol. 3, pp. 21-27, 2016.
    [8] D.-W. Chang, Y.-D. Liu, C.-P. Young, J.-J. Chen, Y.-H. Chen, C.-Y. Chen, et al., "Design and implementation of a modularized polysomnography system," IEEE Transactions on Instrumentation and Measurement, vol. 61, pp. 1933-1944, 2012.
    [9] K. Storck, M. Karlsson, P. Ask, and D. Loyd, "Heat transfer evaluation of the nasal thermistor technique," IEEE Transactions on Biomedical Engineering, vol. 43, pp. 1187-1191, 1996.
    [10] J. Werthammer, J. Krasner, J. DiBenedetto, and A. R. Stark, "Apnea monitoring by acoustic detection of airflow," Pediatrics, vol. 71, pp. 53-55, 1983.
    [11] J. Boyle, N. Bidargaddi, A. Sarela, and M. Karunanithi, "Automatic detection of respiration rate from ambulatory single-lead ECG," IEEE Transactions on Information Technology in Biomedicine, vol. 13, pp. 890-896, 2009.
    [12] P. De Chazal, C. Heneghan, E. Sheridan, R. Reilly, P. Nolan, and M. O'Malley, "Automated processing of the single-lead electrocardiogram for the detection of obstructive sleep apnoea," IEEE Transactions on Biomedical Engineering, vol. 50, pp. 686-696, 2003.
    [13] S. P. Arunachalam and L. F. Brown, "Real-time estimation of the ECG-derived respiration (EDR) signal using a new algorithm for baseline wander noise removal," in 31st Annual International Conference of the IEEE EMBS Minneapolis, USA, 2009.
    [14] S. Ding, X. Zhu, W. Chen, and D. Wei, "Derivation of respiratory signal from single-channel ECGs based on Source Statistics," International Journal of Bioelectromagnetism, vol. 6, pp. 43-49, 2004.
    [15] G. B. Moody, R. G. Mark, A. Zoccola, and S. Mantero, "Derivation of respiratory signals from multi-lead ECGs," Computers in cardiology, vol. 12, pp. 113-116, 1985.
    [16] Online resource. Available: https://www.physionet.org/
    [17] P. Schwartz, A. Garson, T. Paul, M. Stramba-Badiale, V. Vetter, E. Villain, et al., "Guidelines for the interpretation of the neonatal electrocardiogram," European heart journal, vol. 23, pp. 1329-1344, 2002.
    [18] Arduino. Available: https://www.arduino.cc/
    [19] Pediatric pulse rates and respiratory rates. Available: http://www.health.ny.gov/professionals/ems/pdf/assmttools.pdf
    [20] D. S. Gangwar, "Traffic and performance management for biomedical sensor network," TRAFFIC, vol. 2, pp. 183-189, 2011.
    [21] M. Saeed, M. Villarroel, A. T. Reisner, G. Clifford, L.-W. Lehman, G. Moody, et al., "Multiparameter Intelligent Monitoring in Intensive Care II (MIMIC-II): a public-access intensive care unit database," Critical care medicine, vol. 39, p. 952, 2011.
    [22] A. L. Goldberger, L. A. N. Amaral, L. Glass, J. M. Hausdorff, P. C. Ivanov, R. G. Mark, et al., "PhysioBank, PhysioToolkit, and PhysioNet," Components of a New Research Resource for Complex Physiologic Signals, vol. 101, pp. e215-e220, 2000-06-13 00:00:00 2000.
    [23] Asthma in Infants and Young Children. Available: http://asthmaandallergies.org/asthma-allergies/asthma-in-infants-and-young-children/
    [24] ViSi mobile. Available: http://www.soterawireless.com/
    [25] BioSenseTek. Available: http://www.biosensetek.com/product.html
    [26] N. Donnelly, R. Harper, J. McCAnderson, D. Branagh, A. Kennedy, M. Caulfield, et al., "Development of a ubiquitous clinical monitoring solution to improve patient safety and outcomes," in Conf Proc IEEE Eng Med Biol Soc, 2012, pp. 6068-73.
    [27] G. López, V. Custodio, and J. I. Moreno, "LOBIN: E-textile and wireless-sensor-network-based platform for healthcare monitoring in future hospital environments," IEEE Transactions on Information Technology in Biomedicine, vol. 14, pp. 1446-1458, 2010.
    [28] K. S. Kwak, S. Ullah, and N. Ullah, "An overview of IEEE 802.15. 6 standard," in 2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010), 2010, pp. 1-6.
    [29] R. Huang, Z. Nie, C. Duan, Y. Liu, L. Jia, and L. Wang, "Analysis and Comparison of the IEEE 802.15. 4 and 802.15. 6 Wireless Standards Based on MAC Layer," in International Conference on Health Information Science, 2015, pp. 7-16.

    下載圖示 校內:2020-09-01公開
    校外:2020-09-01公開
    QR CODE