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Delayed detection of labor pain in pregnant women, especially during their first delivery, often leads to delays in reaching healthcare facilities, potentially resulting in complications. This research proposes an innovative IoT-enabled system for remote monitoring of labor progress and fetal health, designed specifically to address the needs of women in remote areas within a 100 km radius of healthcare facilities. The system includes a wearable device integrated with sensors to detect the onset of labor pain and continuously monitor the fetal heartbeat. Upon detecting labor pain, the system automatically sends an alert to the medical team, allowing timely intervention. Experimental results demonstrate the system's efficacy with a 99.2% accuracy in detecting labor onset and a 98.5% reliability in fetal heartbeat monitoring. The latency for alert transmission was measured at an average of 3.2 seconds, ensuring prompt notification to healthcare providers. The proposed solution enhances accessibility to maternal care, reduces complications due to delayed hospital admission, and provides continuous fetal monitoring, even in resource-constrained environments. This innovation bridges the gap in maternal healthcare delivery for underserved regions, offering a practical, cost-effective, and scalable solution. .
D. Jayasutha (Mon,) studied this question.