Intelligent Neonatal Monitoring System Based On Android Application Using Multi Sensors
Abstract
The purpose of the project is to develop an
Intelligent Neonatal Monitoring System based on
temperature and pulse rate data. In the Neonatal
Intensive Care Unit (NICU), there are premature
babies and other ill babies who need extra care from
the doctors, nurses as well as medical supplies.
Therefore, an intelligent neonatal monitoring
system should be a good solution in order to help
them to observe neonates frequently and
consistently. This system transmits the vital signs of
the neonate such as body temperature and pulse rate
to the Internet of Things (IoT) called Blynk. This
develops system will providing efficiency and
reliability which will play a vital role for better care.
The body temperature and heart rate are important
parameters to monitor the neonatal situation.
Neonatal need to be monitored closely in Neonatal
Intensive Care Unit (NICU) to allow quick actions
by physicians when any problems occur. The lack of
systems that able to alert and indicates any warning
condition of neonatal in NICU is one of the problems
faced by most of the hospital. To reduce the
complexity of the system at the NICU for monitoring
the Neonatal condition from time to time, the health
monitoring system using the Android app has been
introduced. This system was introduced to improve
the existing system to give alert and warning sign so
that early precautions can be done. The project
involves the LM35 temperature sensor and pulse
sensor which is controlled by the nodeMCU microcontroller with the help of instructions C / C
++, and Wi-Fi networking system. This allows the user to monitor the baby's condition through
applications that use blynk networking system.
Users must have the application that can be
downloaded on Google Play. Furthermore, this
system is not only applicable for the physicians but
also for others to monitor the condition of Neonatal
even though they are outside of the NICU.
