Cloud-Enabled IoT Wearable for Real-Time Maternal and Fetal Monitoring

DOI

10.2991/978-94-6239-693-7_17How to use a DOI?

Keywords

IoT; Maternal and Fetal Health Monitoring; SpO2; Weight Monitoring; ESP8266; ECG; GSM; Real-Time Alerts; Healthcare IoT

Abstract

Maternal and fetus health surveillance is crucial in curbing pregnancy complications and maternal and fetal death though traditional hospital-based surveillance systems are periodic, resource-demanding, and demand physical presence making it to be slow in the early identification of critical health abnormalities, especially in the rural and home-based systems. To overcome these shortcomings, this paper introduces an IoT-based real-time maternal and fetal health monitoring system that is able to monitor physiological states continuously and provide timely remote warnings. The offered system combines several sensors, such as a body temperature sensor (DHT11), pulse sensor, SpO₂ sensor desaturating the blood oxygen, a load-cell-based weight sensor, and a tilt sensor, connected to an Arduino Uno microcontroller. The system constantly checks the body temperature of the mother, heart rate, saturation levels of oxygen, weight change, and posture or fall conditions in the body. SpO₂ monitoring helps to identify complications related to hypoxia early enough, and constant monitoring of weight helps to identify abnormal weight gain during gestation or retention of fluid. The sensor data are locally shown in a 16x2 LCD and wirelessly sent over to the Thing Speak cloud over the ESP8266 (NodeMCU) Wi-Fi module used in real-time visualizing, storing, and analysing the sensor data over time. A GSM module provides SMS notifications to caregivers and medical workers when the parameters are out of the safe range, an onboard notification buzzer gives warnings in immediate local areas. Due to its affordability, portability, and scalable Internet of Things architecture, improving access to and quality of maternal care.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Muqthiar Ali Shaik
AU  - Charan Teja Parnapalli
AU  - Chandana Meruva
AU  - Chaithanya Jangiti
AU  - Arun kumar Dudekula
PY  - 2026
DA  - 2026/06/16
TI  - Cloud-Enabled IoT Wearable for Real-Time Maternal and Fetal Monitoring
BT  - Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)
PB  - Atlantis Press
SP  - 151
EP  - 162
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6239-693-7_17
DO  - 10.2991/978-94-6239-693-7_17
ID  - Shaik2026
ER  -