簡易檢索 / 詳目顯示

研究生: 林阮銀河
Lam Nguyen Ngan Ha
論文名稱: 利用雙機械手臂建置具居家孕婦監控裝置性能評估之胎動模擬系統
Development of a Fetal Movement Simulator by Dual-Robotic Arms for the Performance Evaluation of Home-Based Pregnant Monitoring Devices
指導教授: 杜翌群
Du, Yi-Chun
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: 2023
畢業學年度: 111
語文別: 英文
論文頁數: 89
外文關鍵詞: Simulator system, Fetal movement, Fetal health, Uterine contraction, Pregnancy monitoring
相關次數: 點閱:170  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
  • 現今年輕人將事業和個人成長放在婚姻之上,造成晚婚和高齡產婦的情況日益普遍,再加上不健康的生活方式和久坐的工作型態與新冠疫情的影響,孕婦腹中胎兒的照護監測裝置如雨後春筍地出現,然而對這樣裝置的驗證假體目前仍相當缺乏。鑒於上述需求,本研究開發了一個胎動模擬系統,使用雙機器手臂協作平台來確保產前護理研究的安全性。此系統使用基於水凝膠的假體和機器手臂,可以準確地模擬腹壁和胎兒在子宮內的運動。本研究目標為模擬胎兒在子宮內運動的多個情況,透過 8 個不同的情況來評估此系統的效能:(1) 模擬FM特性;(2) 模擬不同懷孕階段的FM;(3) 模擬FM在不同角度下的運動;(4) 模擬FM不同持續時間的運動;(5) 模擬FM不同位移的運動;(6) 模擬FM在不同孕婦姿勢下的運動;(7) 模擬FM在不同人工羊水量下的運動;(8) 模擬宮缩和FM的出現。正面結果顯示:a) 位移和能量之間的線性相關性為R2=0.95,表明該系統對較大FM位移具有高度的適應性;b) 在20週和30週時,R2值為0.89和0.98,顯示該系統可以模擬隨著懷孕周數的變化的不同FM;c) 系統在相同位移下保持一致的力和能量,力傳感器測量的能量分布與FZ之間呈現負相關,R2為0.97;d) 在模擬5秒的FM時,準確率達到98%,與典型FM持續時間相符;e) 能量和RF與位移之間存在很強的相關性,R2值為0.99,可靠地用於評估胎兒健康和活動水平;f) 在6.%和35%的不同位置之間存在偏差,這表明孕婦姿勢的重要性;g) 700毫升較高的羊水量對於能量傳輸的密度具有0.4%的較低測量誤差,h) 同時刺激子宮收縮和胎動為了解它們的特性以及它們之間的複雜關係提供了有價值的見解。上述研究結果驗證此系統成功地在實際情況中模擬了多種FM運動。該模擬系統在現有的胎動模擬器中脫穎而出並可做為臨床試驗前之標準。

    Late marriages and advanced maternal age are becoming more common as young adults prioritize career and personal growth over marriage. Although numerous of the remote monitoring of fetal health has been developed for allowing mothers and caregivers to actively assess the baby's well-being, this still lack of a simulator system ensuring a safe of pregnant care devices. To address these problems, this study developed a fetal movement simulator system using a dual-robotic platform to prioritize safety in prenatal care research. The simulator combines a hydrogel-based phantom and a robotic arm to accurately replicate abdominal wall and fetal movements in prenatal care through the topic "Development of a Fetal Movement Simulator based on a Dual-Robotic Platform for Pregnant Wearable Devices Assessment.". This study aims to show many aspects of a fetal movement simulator in an in-womb environment. The performance of the simulator was evaluated through 8 different simulation scenarios: (1) Simulation of FM characteristics; (2) Simulation of FM in different pregnancy stages, (3) Simulation of FM with diverse angles, (4) Simulation of FM with different durations, (5) Simulation of FM with different displacements, (6) Simulation of FM with different maternal postures, (7) Simulation of FM under different Artificial Amniotic Fluid Volumes, and (8) Simulation of UC and FM occurrences. Positive results were showed that a) The linear correlation with R2=0.95 between displacement and Energy indicates the high system's qualification for higher FM displacements; b) With the significant difference at R2=0.89 and 0.98 of 20th and 30th-old-week, the system can mimic different FM following the development of gestational weeks; c) The system maintained consistent force and energy in the same displacement, and a negative correlation between Energy measurement and FZ from the force sensor with R2=0.97; d) It achieved 98% accuracy in simulating FM at 5-second duration, aligning with typical FM durations; e) Energy and RF were found to have a strong correlation with displacement at R2=0.99 and be reliable indicators for assessing fetal health and activity levels; f) The deviation between lower position and upper position at 6.% and 35% indicated the important of maternal postures; g) A higher amniotic fluid at 700 mL will have lower measurement error at 0.4% related to the density of amniotic flow on energy transmission; h) Simultaneous stimulation of uterine contractions and fetal movements provided valuable insights into their characteristics and the complex relationship between them. The above results confirm that the enhanced simulator system successfully created a diverse aspect of FM movements in the actual environment. This simulation system stands out from existing fetal movement simulators. This system can be a standard for the pre-test before the clinical trial.

    ABSTRACT I ABSTRACT IN CHINESE III ACKNOWLEDGEMENT IV TABLE OF CONTENT V LIST OF FIGURES VII LIST OF TABLES IX CHAPTER 1. INTRODUCTION 1 1.1 High-risk pregnancy 1 1.1.1 Obesity others 1 1.1.2 Diabetes mothers 2 1.1.3 Advanced maternal age 3 1.2 Adverse outcome: Stillbirths 4 1.3 Fetal health evaluation 6 1.3.1 Fetal movement (FM) 6 1.3.2 Uterine contraction and other fetal bio signals 10 1.4 Motivation and purpose of study 12 1.4.1 The current devices for fetal-wellbeing monitoring 12 1.4.2 The pregnancy under Covid-19 pandemic 15 1.4.3 The importance role of wearable device for pregnancy 16 CHAPTER 2. LITERATURE REVIEW 19 2.1 A simulator system with silicone phantom and kicking machine 19 2.2 A simulator system based on rubber sheet and servo motor 20 2.3 A simulator system with latex balloon and stepper motor 21 2.4 The simulator system with silicone belly and Stewart Platform 22 2.5 The need for an enhanced FM simulator system 23 CHAPTER 3. MATERIALS AND METHODOLOGY 25 3.1 Fetal movement simulator system 25 3.1.1 Abdomen wall phantom 25 3.1.2 A phantom holder 30 3.1.3 A FM simulator 32 3.2 A data collecting by IMUs device for simulator assessment 37 3.2.1 The chosen of IMUs device 37 3.2.2 Device properties 38 3.3 Data acquisition 38 3.4 Extracted features for FM simulator performance evaluation 40 3.4.1 Energy value 40 3.4.2 FM duration 41 3.4.3 Relative force (RF) measurement 42 CHAPTER 4. EXPERIMENT DESIGN 44 4.1 Simulation of FM characteristics 44 4.2 Simulation of FM in different pregnancy stages 45 4.3 Simulation of FM with diverse angles 46 4.4 Simulation of FM with different durations 47 4.5 Simulation of FM with different displacements 48 4.6 Simulation of FM with different maternal postures 49 4.7 Simulation of FM under different artificial amniotic fluid volumes 50 4.8 Simulation of UC and FM occurrences 52 CHAPTER 5. RESULTS 54 5.1 Simulation of FM characteristics 54 5.2 Simulation of FM in different pregnancy stages 57 5.3 Simulation of FM with diverse angles 60 5.4 Simulation of FM with different durations 64 5.5 Simulation of FM with different displacements 67 5.6 Simulation of FM with different maternal postures 70 5.7 Simulation of FM under different artificial amniotic fluid volumes 74 5.8 Simulation of UC and FM occurrences 78 CHAPTER 6. DISCUSSION 82 CHAPTER 7. CONCLUSION 85 REFERENCES 86

    [1] N. J. Kennedy et al., “Maternal abdominal subcutaneous fat thickness as a predictor for adverse pregnancy outcome: A longitudinal cohort study,” BJOG, vol. 123, no. 2, pp. 225–232, Jan. 2016, doi: 10.1111/1471-0528.13758.
    [2] O. F. Quotah et al., “Prevention of gestational diabetes in pregnant women with obesity: protocol for a pilot randomised controlled trial,” Pilot Feasibility Study, vol. 8, no. 1, Dec. 2022, doi: 10.1186/s40814-022-01021-3.
    [3] H. Akkaya and B. Büke, “A frequently asked question: Is it normal not to feel my baby’s movements yet?” Journal of the Chinese Medical Association, vol. 81, no. 8, pp. 742–746, Aug. 2018, doi: 10.1016/j.jcma.2017.07.014.
    [4] S. Lertvutivivat, P. Sunsaneevithayakul, P. Ruangvutilert, and D. Boriboonhirunsarn, “Fetal anterior abdominal wall thickness between gestational diabetes and normal pregnant women,” Taiwan J Obstet Gynecol, vol. 59, no. 5, pp. 669–674, Sep. 2020, doi: 10.1016/j.tjog.2020.07.008.
    [5] Children’s Hospital of Philadelphia, “Infant of Diabetic Mother.” https://www.chop.edu/conditions-diseases/infant-diabetic-mother (accessed Jun. 23, 2023).
    [6] I. Glick, E. Kadish, and M. Rottenstreich, “Management of pregnancy in women of advanced maternal age: Improving outcomes for mother and baby,” Int J Womens Health, vol. 13, pp. 751–759, 2021, doi: 10.2147/IJWH.S283216.
    [7] D. Dongarwar, D. Tahseen, M. H. Aliyu, and H. M. Salihu, “Pregnancy outcomes among Asian Americans of advanced maternal age, 1992–2018,” Journal of Obstetrics and Gynaecology Research, vol. 47, no. 6, pp. 2117–2125, Jun. 2021, doi: 10.1111/jog.14790.
    [8] WHO, “Stillbirth.” https://www.who.int/health-topics/stillbirth#tab=tab_1 (accessed Jun. 25, 2023).
    [9] Unicef, “Stillbirths,” Jan. 2021. https://data.unicef.org/topic/child-survival/stillbirths/ (accessed Jun. 14, 2023).
    [10] Stanford Medicine Children’s Health, “Fetal Movement Counting.” https://www.stanfordchildrens.org/en/topic/default?id=fetal-movement-counting-90-P02449 (accessed Jun. 21, 2023).
    [11] A. Linde, K. Pettersson, and I. Rådestad, “Women’s experiences of fetal movements before the confirmation of fetal death-contractions misinterpreted as fetal movement,” Birth, vol. 42, no. 2, pp. 189–194, Jun. 2015, doi: 10.1111/birt.12151.
    [12] X. Zhao, X. Zeng, L. Koehl, G. Gemtex, J. De Jonckheere, and K. Song, “An IoT-based wearable system using accelerometers and machine learning for fetal movement monitoring; An IoT-based wearable system using accelerometers and machine learning for fetal movement monitoring,” 2019.
    [13] S. W. Verbruggen et al., “Stresses and strains on the human fetal skeleton during development,” J R Soc Interface, vol. 15, no. 138, Jan. 2018, doi: 10.1098/rsif.2017.0593.
    [14] A. S. Soliman, “Decrease fetal movements Alarm before fetal death,” Obstetrics and Gynecology Department, Benha University, Oct. 27, 2015. https://www.slideshare.net/ahmadsaber792/decreased-fetal-movements-54423538 (accessed Jun. 15, 2023).
    [15] J. R. T. J. Huecker BR, “Fetal Movement,” Feb. 05, 2023. https://www.ncbi.nlm.nih.gov/books/NBK470566/ (accessed Jun. 22, 2023).
    [16] VINMEC International Hospital, “Why measure contractions with a monitor?” https://www.vinmec.com/en/news/health-news/obstetrics-gynecology-and-assisted-reproductive-technologies-art/why-measure-contractions-with-a-monitor/ (accessed Jul. 15, 2023).
    [17] H. L. Brown, “Trauma and Related Surgery in Pregnancy,” Obstetrics: Normal and Problem Pregnancies, pp. 565–577, Jan. 2017, doi: 10.1016/B978-0-323-32108-2.00026-3.
    [18] JOHNS HOPKINS MEDICINE, “Fetal Heart Monitoring.” https://www.hopkinsmedicine.org/health/treatment-tests-and-therapies/fetal-heart-monitoring (accessed Jun. 20, 2023).
    [19] N. Bowers, S. Foster, and L. Akin, “External and Internal Heart Rate Monitoring of the Fetus*,” University of Rochester Medical Center. https://www.urmc.rochester.edu/encyclopedia/content.aspx?contenttypeid=92&contentid=P07776# (accessed Jun. 20, 2023).
    [20] S. Pillai, “What Is a Contraction Stress Test (CST) And How Is It Done?” Jun. 05, 2023. https://www.momjunction.com/articles/contraction-stress-test-during-pregnancy_00367783/ (accessed Jul. 15, 2023).
    [21] R. Pradeep, “Electronic Fetal Monitoring During Labor and Delivery,” being the parent. https://www.beingtheparent.com/electronic-fetal-monitoring-during-labor-and-delivery/ (accessed Jun. 13, 2023).
    [22] H. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Learning from the Past, Looking to the Future: July 17-21, 2018, Hawaii Convention Center, Honolulu, Hawaii.
    [23] U.S. FOOD & DRUG ADMINISTRATION, “Ultrasound Imaging,” Sep. 28, 2020. https://www.fda.gov/radiation-emitting-products/medical-imaging/ultrasound-imaging# (accessed Jul. 16, 2023).
    [24] X. Zhao, X. Zeng, L. Koehl, G. Tartare, and J. De Jonckheere, “A Wearable System for In-Home and Long-Term Assessment of Fetal Movement,” IRBM, vol. 41, no. 4, pp. 205–211, Aug. 2020, doi: 10.1016/j.irbm.2019.11.003.
    [25] R. Kahankova, K. Barnova, R. Jaros, J. Pavlicek, V. Snasel, and R. Martinek, “Pregnancy in the time of COVID-19: towards Fetal monitoring 4.0,” BMC Pregnancy and Childbirth, vol. 23, no. 1. BioMed Central Ltd, Dec. 01, 2023. doi: 10.1186/s12884-023-05349-3.
    [26] V. Riley, N. Ellis, L. Mackay, and J. Taylor, “The impact of COVID-19 restrictions on women’s pregnancy and postpartum experience in England: A qualitative exploration,” Midwifery, vol. 101, Oct. 2021, doi: 10.1016/j.midw.2021.103061.
    [27] D. Sutton, K. Fuchs, M. D’Alton, and D. Goffman, “Universal Screening for SARS-CoV-2 in Women Admitted for Delivery,” New England Journal of Medicine, vol. 382, no. 22, pp. 2163–2164, May 2020, doi: 10.1056/nejmc2009316.
    [28] A. K. Ghosh et al., “A novel fetal movement simulator for the performance evaluation of vibration sensors for wearable fetal movement monitors,” Sensors (Switzerland), vol. 20, no. 21, pp. 1–22, Nov. 2020, doi: 10.3390/s20216020.
    [29] IEEE Engineering in Medicine and Biology Society. Malaysia Chapter., Institute of Electrical and Electronics Engineers, IECBES, IEEE-EMBS Conference on Biomedical Engineering and Science: 2018 proceedings: Innovation in Global Healthcare, Kuching, Malaysia.
    [30] IEEE Engineering in Medicine and Biology Society. Annual International Conference, 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society: “Enabling Innovative Technologies for Global Healthcare” : 20-24 July 2020, Montreal, Canada.
    [31] Y. C. Du, L. B. Yen, P. L. Kuo, and P. Y. Tsai, “A Wearable Device for Evaluation of Relative Position, Force, and Duration of Fetal Movement for Pregnant Woman Care,” IEEE Sens J, vol. 21, no. 17, pp. 19341–19350, Sep. 2021, doi: 10.1109/JSEN.2021.3089076.
    [32] S. W. Verbruggen, M. L. Oyen, A. T. M. Phillips, and N. C. Nowlan, “Function and failure of the fetal membrane: Modelling the mechanics of the chorion and Amnion,” PLoS One, vol. 12, no. 3, Mar. 2017, doi: 10.1371/journal.pone.0171588.
    [33] Y. Xu, H. Liu, D. Hao, M. Taggart, and D. Zheng, “Uterus Modeling from Cell to Organ Level: Towards Better Understanding of Physiological Basis of Uterine Activity,” IEEE Rev Biomed Eng, vol. 15, pp. 341–353, 2022, doi: 10.1109/RBME.2020.3023535.
    [34] Y. Xu, H. Liu, D. Hao, M. Taggart, and D. Zheng, “Uterus Modeling from Cell to Organ Level: Towards Better Understanding of Physiological Basis of Uterine Activity,” IEEE Rev Biomed Eng, vol. 15, pp. 341–353, 2022, doi: 10.1109/RBME.2020.3023535.
    [35] P. Sokolowski et al., “Human uterine wall tension trajectories and the onset of parturition,” PLoS One, vol. 5, no. 6, 2010, doi: 10.1371/journal.pone.0011037.
    [36] F. M. Severi, C. Bocchi, C. Voltolini, L. E. Borges, P. Florio, and F. Petraglia, “Thickness of fetal membranes: A possible ultrasound marker for preterm delivery,” Ultrasound in Obstetrics and Gynecology, vol. 32, no. 2, pp. 205–209, Aug. 2008, doi: 10.1002/uog.5406.
    [37] W. Buerzle et al., “Multiaxial mechanical behavior of human fetal membranes and its relationship to microstructure,” Biomech Model Mechanobiol, vol. 12, no. 4, pp. 747–762, Aug. 2013, doi: 10.1007/s10237-012-0438-z.
    [38] V. Nunes, J. Cross, J. E. Speich, D. R. Morgan, J. F. Strauss, and R. M. Ramus, “Fetal membrane imaging and the prediction of preterm birth: A systematic review, current issues, and future directions,” BMC Pregnancy and Childbirth, vol. 16, no. 1. BioMed Central Ltd., Dec. 09, 2016. doi: 10.1186/s12884-016-1176-5.
    [39] Alex Owen-Hill, “Force Sensors In Robotics Research,” Jan. 2016.
    [40] M. H. Beall, J. P. H. M. van den Wijngaard, M. van Gemert, and M. G. Ross, “Water Flux and Amniotic Fluid Volume: Understanding Fetal Water Flow,” Nephrology and Fluid/Electrolyte Physiology: Neonatology Questions and Controversies, pp. 3–18, Jan. 2019, doi: 10.1016/B978-0-323-53367-6.00001-7.
    [41] A. Aguilar, E. Deming, A. Hearn Instructor Noel Perkins Sponsors Carrie Bell, N. Perkins, K. Sienko, and L. Spicher, “Final Design Report: Fetal Movement Simulator.”

    下載圖示
    2026-08-09公開
    QR CODE