Health Assessment Model to Identify and Control Risk Associated with Preeclampsia using IoT

Preeclampsia refers to a condition that occurs due to a sudden increase in Blood Pressure during 20 weeks of pregnancy. Preeclampsia may lead to the damage of some other organs of the body liver or kidneys or leads to the occurrence of brain stroke or seizures. It occurs in 15 to 20 women in 100 and becomes a significant reason for maternal mortality or infant loss. It is necessary to prevent the risks related to preeclampsia by monitoring the health parameters of the patient in a real-time environment. The risk assessment model, when amalgamating with IoT and other related technologies, offers intelligent solutions to monitor health parameters in a real-time environment. The present study is focusing on proposing an IoT based health assessment framework to capture the blood pressure and other health-related parameters of pregnant women continuously. The captured data is then processed and analyzed by fog nodes. These fog nodes then provide real-time suggestions to the patient for improving health conditions. Moreover, the fog nodes also send the processed data to cloud servers for further analysis by healthcare providers.