Research Article
IoT Enabled Prenatal Health Monitoring System for Pregnant Women
@INPROCEEDINGS{10.4108/eai.24-3-2022.2319150, author={Ankit Bansal and Vijay Anant Athavale and Kushwant Kaur and Atul Garg}, title={IoT Enabled Prenatal Health Monitoring System for Pregnant Women}, proceedings={Proceedings of the 3rd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2022, 24-25 March 2022, New Delhi, India}, publisher={EAI}, proceedings_a={ICIDSSD}, year={2023}, month={5}, keywords={oximetry temperature sensor heart rate sensor accelerometer sensor blood pressure sensor arduino internet of things thingspeakcloud gsm}, doi={10.4108/eai.24-3-2022.2319150} }
- Ankit Bansal
Vijay Anant Athavale
Kushwant Kaur
Atul Garg
Year: 2023
IoT Enabled Prenatal Health Monitoring System for Pregnant Women
ICIDSSD
EAI
DOI: 10.4108/eai.24-3-2022.2319150
Abstract
Maternal and new-born well-being is a concern for underdeveloped as well as developing countries. Pregnancy problems, such as miscarriage, stillbirth and premature birth, increase the risk of maternal and new-born death. Pregnancy problems can be reduced by making lifestyle changes and focused health monitoring under supervision of trained, well equipped health care professionals during and after pregnancy. The women's health is at jeopardy as a result of this predicament. Although, practitioners recommend ultrasound scans to see the growth of fetus. In underdeveloped and developing countries, access to such scanning facilities is not very common as well as expensive. To address these issues, the authors propose a solution in the form of a device which consists of various sensors like Temperature sensor, Heartbeat rate sensor, Blood Pressure sensor, Sweat sensor to measure sugar levels, oximeter to measure oxygen level, weight machine to measure weight, Accelerometer sensor and other devices like Arduino, GSM module etc. which can be further converted into compact device for accessing vital statistics of pregnant women to integrate it and to transfer the captured readings to the Thingspeak cloud so that the analytics can be monitored by physicians with the help of mobile or web application etc.