Volume no :
9 |
Issue no :
1
Article Type :
Reserach Article
Author :
Mr. J.Uthayakumar, Jeevananthan R, Mohamed Jiyath A, Naveen R, Sarveshwaran L
Published Date :
May, 2025
Publisher :
Journal of AI and CS
Page No: 1 - 12
Abstract : This project proposes an Integrated Healthcare Solution for Mothers and Newborns that leverages IoT technology to enable real-time monitoring of vital health parameters during pregnancy, including blood glucose levels, blood oxygen saturation (SpO₂), heart rate, and blood pressure. Recognizing that pregnancy is a critical period requiring consistent health oversight, the system addresses limitations of traditional healthcare—which often depends on periodic check-ups that may delay the detection of complications—by offering continuous, data-driven monitoring. The solution utilizes biomedical sensors connected to a microcontroller to collect vital data from pregnant women, which is then securely transmitted via wireless communication to an IoT platform. This platform processes and visualizes the data in an intuitive graphical interface, accessible through both mobile and web applications. Healthcare providers and caregivers can remotely track these health trends in real time, facilitating early detection of anomalies and enabling timely interventions. Moreover, the system includes automated alert mechanisms that immediately notify doctors and caregivers when abnormal readings are detected, ensuring that urgent medical attention can be delivered without delay. This proactive approach to maternal healthcare enhances accessibility, reduces the risk of undiagnosed complications, and empowers both patients and medical professionals with actionable insights. By continuously monitoring key physiological indicators, the proposed system aims to improve prenatal care and maternal-fetal health outcomes, ensuring better safety and well-being for both mothers and their unborn children. Ultimately, this IoT-based solution transforms the traditional prenatal care model into a smarter, more responsive, and patient-centered system that prioritizes early detection, timely response, and informed medical decision-making.
Keyword Keywords: IoT-based maternal health monitoring system, Real-time pregnancy health data tracking, Biomedical sensor integration for prenatal care, Automated health alerts for pregnant women, Remote monitoring of maternal health parameters, Proactive healthcare solution for pregnancy complications
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