SMART MATERNAL AND FETAL HEALTH MONITORING SYSTEM USING CNN CLASSIFIER

Abstract

 In the modern world, IOT supports the development of fast modernizing medical world. Now days Women’s are facing lot of problems during the pregnancy period who are in the age of under 19 or above 35. To face this issue, Maternal and fetal should have the continuous monitoring during the delivery time. This proposed system continuously monitoring the maternal and fetal signals through the IOT module and provides the solution to the clinical staff during the emergency condition. Blood pressure, temperature, oxygen level, heart rate are monitored for the maternal and fetal and recorded the monitored data for the person who hospitalized under high risk condition. The monitored data are stored in cloud and analyze were done using defined threshold level by the clinical staff. Convolutional Neural Network (CNN) with one dimensional method is proposed for the prediction systems and also provides the health status of fetal and maternal. The Simulation results shows that CNN with one dimensional provides the high accuracy for the prediction of the fetal and maternal health status when compares with the SVM, RF, KNN algorithm