Pregnancy is a complex physiological process that can be associated with various maternal health risks. Pregnancy-related maternal health is essential to the health of the expecting mother and the unborn child. Early identification of potential risks can significantly improve maternal and foetal outcomes. This research deals with the development of optimized battery implemented maternal health monitoring device which measures simultaneously, the key health parameters: heart rate (HR), blood pressure and body temperature. The device incorporates various sensors such as MAX32664D biometric sensor hub and MAX32102 for vital signs measurement. The acquired data is processed using ESP32 and uploaded to ThingSpeak for future viewing and analysis. However, one of the key challenges faced by e-health devices is limited battery life. Optimizing battery usage is crucial to ensure uninterrupted monitoring and enhance the usability of e-health devices. This write-up provides an improved e-health monitoring device for vital signs measurement using users’ engagement and behaviour modification techniques