Realtime health monitoring system design for children with cerebral palsy using internet of things

The realtime health monitoring system is a typical application of wearable computing in the medical field. However, existing technology does not consider to design monitoring system for supervision for people with cerebral palsy. The advances in internet innovation have made possible techniques for the conveyance of healthcare. The objective of this research was to design and develop innovative technological solutions to offer a more proactive and reliable medical care environment. The short-term and primary goal was to construct IoT4CP. We also describe an experimental model designed for checking the health condition of the children with cerebral palsy based on IoT architecture. The framework depends on sensor shield associated with a cloud platform that gathers the data from the sensors. The sensors measure various parameters, such as a heart rate and muscle contraction which are transmitted via microcontroller by a gateway to a cloud storage platform by google firebase. This research presents the first realtime analyses to be activated within this framework and can send data smoothly with total average 1.77 seconds.