Development of A Comprehensive IoT-Based Monitoring Application for High-Risk Pregnancies Enhancing Maternal and Fetal Health Outcomes

  • Authors

    • P. Bavithra Matharasi Department of Computer Science (MCA), Mount Carmel College, Autonomous, Bengaluru, Karnataka 560052, India
    • Prabu Selvam School of Computing, SRM Institute of Science & Technology, Tiruchirapalli Campus, Tiruchirapalli, Tamil Nadu 621105, India
    • Himanshu Sharma Department of Computer Science & Engineering, IILM University, Greater Noida, Uttar Pradesh 201306, India
    • D. Sugumar Department of Electronics and Communication Engineering, Karunya Institute of Technology and Sciences (Deemed to be University), ‎Coimbatore, Tamil Nadu 641114, India
    • Midathada Vinay Kumar Department of Electronics and Communication Engineering, Avanthi Institute of Engineering and Technology (Autonomous), ‎Cherukupally, Vizianagaram, Andhra Pradesh 531162, India
    • S. Rosaline Department of Electronics Engineering (VLSI Design and Technology), R.M.K. Engineering College, Kavaraipettai, Tamil Nadu 601206, ‎India
    • Addanki Mounika Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh 522302, ‎India
    • Tati‎raju V. Rajani Kanth Senior Manager, TVR Consulting Services Private Limited, Hyderabad, Telangana 500055, India
    https://doi.org/10.14419/wf3p9b62

    Received date: May 10, 2025

    Accepted date: June 18, 2025

    Published date: June 30, 2025

  • Perinatal Monitoring; Maternal Healthcare; Mobile Application; Real-Time Alerts

  • Abstract

    This paper presents the design, development, and testing of MAVATI, a mobile health application focused on perinatal monitoring for ex-‎expectant mothers and healthcare professionals. The system includes real-time monitoring of biomedical parameters, alert generation (both ‎manual and automatic), and a personalized recommendation module. Developed as a minimum viable product (MVP) for both patient and ‎physician interfaces, the application was evaluated through usability testing and load testing to validate its performance and user-friendliness. ‎Usability tests demonstrated intuitive navigation and effective interaction with key functionalities, while load testing using Apache JMeter ‎confirmed the system's scalability and reliability under concurrent access. The results indicate that MAVATI is a responsive and user-centered solution capable of supporting maternal healthcare monitoring. Further clinical validation is recommended to assess its real-world ‎effectiveness and potential for data-driven research‎.

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  • How to Cite

    Matharasi , P. B. ., Selvam , P. ., Sharma, H. ., Sugumar, D. . ., Kumar, M. V. . ., Rosaline, S. . ., Mounika, A. ., & Kanth , T. V. R. . (2025). Development of A Comprehensive IoT-Based Monitoring Application for High-Risk Pregnancies Enhancing Maternal and Fetal Health Outcomes. International Journal of Basic and Applied Sciences, 14(2), 520-534. https://doi.org/10.14419/wf3p9b62