Investigation of IOT Enabled Maternal Health Monitoring System for Antenatal Care

In developing nations, a significant portion of the population resides in rural regions where healthcare systems lack integration for information sharing. Mainly, expectant mothers struggle to undertake regular prenatal checkups, leading to elevated infant and maternal mortality rates in both rural and urban settings. This scenario presents substantial healthcare challenges for women. To address this, an accelerometer sensor is devised to gauge the strength and frequency of fetal movements. This data is then transmitted to a RASPBERRY PI Pico controller. The motion of the fetus and vital metrics like blood pressure, heart rate, fetal kicks count, and maternal temperature are monitored through an array of diverse sensor technologies. The gathered data is communicated via IOT and showcased on mobile devices. This setup, with its heightened sensitivity and lightweight design capable of detecting even subtle motions, is well-suited for domestic monitoring. Contrary to the prevailing trend of employing costly and extended-use ultrasound scans, which exhibit unclear fetal impact limitations, this approach discourages their continuous utilization. Moreover, due to its high cost, we have put forth an alternative system incorporating a range of sensors including a heartbeat sensor, temperature sensor, blood pressure sensor, and an accelerometer sensor to monitor fetal movements. These sensors enable data collection, which is then transmitted to a mobile application via Raspberry pi Pico and IOT technology. Should any irregular readings arise, GSM module is employed to compute normal and abnormal rates.