skip to main content
10.1145/3647444.3652474acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicimmiConference Proceedingsconference-collections
research-article

Diagnosis of Pregnant Women Review with Wireless Body Sensor Network

Published:13 May 2024Publication History

ABSTRACT

In today's society, a pregnant mother and her unborn child face several challenges. They are in a critical condition as a result of these difficulties, such as preterm delivery, birth asphyxia, foetal hypoxia, and so on. The issue of premature delivery, also known as preterm birth, continues to be a major concern in the field of maternal healthcare. This abstract presents a comprehensive strategy to tackle this complex problem. The proposed plan includes various components such as conducting early risk assessments, providing education on healthy lifestyles and healthcare, establishing community-based support programs, implementing medical interventions, improving neonatal care, conducting research studies, advocating for policy changes, promoting global collaboration, regularly evaluating the effectiveness of the plan, and actively involving patients in the process. Efforts to prevent premature delivery require a united effort from various stakeholders, including healthcare providers, researchers, policymakers, and communities. These efforts involve several key strategies, such as conducting early risk assessments to identify high-risk pregnancies, educating expectant mothers on healthy lifestyle choices, establishing supportive networks within communities, and implementing evidence-based medical interventions when necessary. Additionally, providing specialized care for premature infants and ensuring long-term follow-up are crucial for improving their overall health outcomes. The importance of research and data collection cannot be overstated in understanding the underlying causes and risk factors of premature delivery. Alongside this, policy measures and advocacy efforts are essential in improving access to maternal healthcare and addressing any disparities that may exist. Through global collaboration and the sharing of best practices, we can work towards reducing the number of preterm births on a global scale. The constant assessment and enhancement of quality serve as the foundation for these initiatives, fueling the progress of healthcare methods and regulations. Additionally, involving patients and the general public is crucial in increasing understanding and encouraging involvement in prenatal care and preventing premature birth. The effectiveness of these approaches relies heavily on the cooperation of healthcare facilities, government entities, non-profit groups, and communities. Consistent monitoring, adjustments based on research, and using data to make informed decisions are key in decreasing rates of early delivery and improving the well-being of mothers and new-borns.

References

  1. Javed Iqbal Bangash, Abdul Hanan Abdullah, Mohammad Hossein Anisi and Abdul Waheed Khan: A survey of routing protocols in Wireless Body Sensor Networks. Sensors 2014, 14, 1322-1357; doi:10.3390/s140101322, ISSN. 1424-8220.Google ScholarGoogle ScholarCross RefCross Ref
  2. Adina Nitulescu, Mihaela Crisan-Vida, Lacramioara Stoicu-Tivadar and Elena Bernad: Integrated Wireless Sensor Networks for Monitoring Pregnant Women. 2015, doi:10.3233/978-1-61499-512-8-354.Google ScholarGoogle ScholarCross RefCross Ref
  3. Jainfeng Yang, Jing Chen, Yujia Huo and Yanyu Liu: A Novel Cluster-Based Wireless Sensor Network Reliability Model using Expectation Maximization Algorithm. Hindawi Journal of Sensors. 2021, Article ID 8869544, 13 pages, https://doi.org/10.1155/2021/8869544.Google ScholarGoogle ScholarCross RefCross Ref
  4. Xiaoyang Zhou: Wireless Sensor Network Deployment in Cyberphysical Machine Tool System based on Optimal Allocation of Memory Buffers. Hindawi Journal of Sensors. 2021, Article ID 6680718, 18 pages, https://doi.org/10.1155/2021/6680718.Google ScholarGoogle ScholarCross RefCross Ref
  5. Santhi s, Gandhi AP, Geetha M, and Nirmala K: Smart Maternal Healthcare Monitoring using Wireless Sensors Network. Biotechnology: An Indian Journal. 2016, Vol. 12, Issue. 12, ISSN. 0974-7435.Google ScholarGoogle Scholar
  6. Fatemeh Sarhaddi, Iman Azhimi, Sina Labbaf, Hannakaisa Niela-Vilen, Nikkil Dutt, Anna Axelin, Pasi Liljeberg and Amir M.Rahmani: Long-Term IoT-Based Maternal Monitoring: System Design and Evaluation. Sensors 2021, 21, 2281. https://doi.org/10.3390/s21072281.Google ScholarGoogle ScholarCross RefCross Ref
  7. Dennis Ryu, Dong Hyun Kim, Joan T. Price, Jong Yoon Lee, Ha Uk Chung, Emily Allena, Knute L.Martell, Michael Zhang, Brianna R.Kampmeier, Marc Hill, JooHee Lee, Ntazana Sindano, M. Bridge Spelke, Amy S. Pallen, Ashish Premkumar, William A. Grobmani, Jeffrey S. A. Stringen, Joh A. Rogerd and Shuai Xu: Comprehensive Pregnant Monitoring with a Network of Wireless, Soft, Flexible Sensors in high and low-resources helth settings. PNAS 2021 Vol. 118 No. 20 e2100466118. https://doi.org/10.1073/pnas.2100466118.Google ScholarGoogle ScholarCross RefCross Ref
  8. Yangping Zhang and Wanwei Huang. Design of Intelligent Diagnosis system for teaching quality based on Wireless Sensor Network and Data Mining. Zhang Huang J Wirless Com Network. 2021, 11. https://doi.org/10.1186/s13638-021-01902-w.Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Hisham Allahem, Srinivas Sampalli. Automated Uterine Contractions Pattern Detection Framework to monitor Pregnant women with a high risk of Premature Labour. Informatics in Medicine Unlocked. 2020. 2352-9148. https://doi.org/10.1016/j.imu.2020.100404.Google ScholarGoogle ScholarCross RefCross Ref
  10. Quiping Wang, Weihua Yang, Lie Li, Guokai Yan, Huihui Wang, Jainqiang Li: Late Pregnant analysis with Yunban's remote fetal monitoring system. Sage Journals. 2019. https://doi.org/10.1177%2F1550147719832835.Google ScholarGoogle Scholar
  11. Jennifer Runkle, Maggie Sugg, Danielle Boase, Shelley L. Galvin and Carol C. Coulson: Use of wearable Sensors for Pregnant health and environmental monitoring: Descriptive findings from the perspective of patients and providers. Digital Health. 2019, vol.5, PMCID: PMC6376550. doi: 10.1177/2055207619828220Google ScholarGoogle Scholar
  12. Media Aminian and Hamid Reza Naji: A Hospital Healthcare Monitoring System using Wireless Sensors Network. Journal of Health and Medical Informatics. 2013, 4: 2. DOI: 10.4172/2157-7420.1000121.Google ScholarGoogle ScholarCross RefCross Ref
  13. WooSeok Hyun, Iisun You, Joung Soon Jang, Fang-Yie Leu: A Wireless Body Sensor Network and its Applications: Rehearsal with a smartphone. IEEE Xplore. 2016. DOI: 10.1109/IMIS.2016.116.Google ScholarGoogle Scholar
  14. Ahmed Harbouche, Mohammad Erradi, Abdellatif Kobbane: A Flexible Wireless Body Sensor Network System for Health Monitoring. IEEE Xplore. 2013. ISBN:978-1-4799-0405-1. ISSN: 1524-4547. DOI: 10.1109/WETICE.2013.17.Google ScholarGoogle Scholar

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Other conferences
    ICIMMI '23: Proceedings of the 5th International Conference on Information Management & Machine Intelligence
    November 2023
    1215 pages

    Copyright © 2023 ACM

    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 13 May 2024

    Permissions

    Request permissions about this article.

    Request Permissions

    Check for updates

    Qualifiers

    • research-article
    • Research
    • Refereed limited
  • Article Metrics

    • Downloads (Last 12 months)2
    • Downloads (Last 6 weeks)2

    Other Metrics

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format .

View HTML Format