A SMART NEURO CENTRIC APPROACH TO PREDICT HEART ATTACK FOR CHILD USING IOT

  • Dr. K. HAZEENA
Keywords: Heart Attack, GPS, IoT, Temperature, Heart Beat Rate, Microcontroller

Abstract

Cardiovascular disease which leads to heart attack disease for even child in the developing Asian countries. This Cardiovascular disease which may affects the hearts for various reasons for the child. The main objective of this research work is used to track and monitor the child from the heart attack and also to protect the child form the theft using GPS location with wearable sensor. The Sensor which embed in the chain will monitor and track the child neuron activities based on the heard beat, temperature and GPS location of the Child. This Research work are classified into two section. First Section used to track the neuro centric activities of the child in terms of temperature, heartbeat. If the Heart beat is low or high and similarly if the child accidently or incidentally body temperature is high. The Information will be passed to their respective parents. The Second Section, child can be protected from the theft using GPS Location. Initially the parents had to set their border location, if the child cross the border, the alert information will be passing to parents. This research work will be effective and efficient with Sensor using IoT in-order to protect child physically and location based.

Published
2021-07-28
How to Cite
Dr. K. HAZEENA. (2021). A SMART NEURO CENTRIC APPROACH TO PREDICT HEART ATTACK FOR CHILD USING IOT. Design Engineering, 5373- 5378. Retrieved from http://thedesignengineering.com/index.php/DE/article/view/2988
Section
Articles