Abstract:
The development of Internet of Things (IoT) technologies has made it possible for creative uses in the medical industry. The design and development of an Internet of Things (IoT)-driven telemedicine system intended especially for prenatal care is presented in this thesis. The system intends to improve expectant mothers' access to high-quality healthcare services, especially in isolated or underserved areas.
The proposed system makes use of a network of interconnected sensors and medical equipment to continuously track important maternal health parameters. Vital signs, blood pressure, fetal heart rate, and other pertinent physiological measures are among them. IoT devices gather data, which is then safely transferred to a central server for processing and analysis.
Pregnant patients can consult with healthcare specialists remotely thanks to the system's advanced telecommunication standards, which guarantee smooth connection. Furthermore, a user-friendly interface makes it simple to interact with the system and gives consumers insightful knowledge about their own health and pregnant individuals. Additionally, an intuitive user interface facilitates easy interaction with the system, empowering users with valuable insights into their own health status.
The prototype undergoes rigorous testing to validate its effectiveness, accuracy, and reliability. Preliminary results demonstrate promising outcomes, indicating the potential for widespread adoption in prenatal healthcare contexts. Moreover, the system places significant emphasis on data security and privacy, adhering to established healthcare compliance standards.
This thesis not only contributes to the growing body of knowledge in telemedicine and IoT applications in healthcare but also addresses a critical need for accessible and comprehensive prenatal care. The successful design and prototyping of this IoT-driven telemedicine system offer a foundation for further research and development in the realm of digital health technologies.
