Simulink Modeling of Internet of Things Based Smart Health Care Monitoring and Tracking System

Milena Lyn Dolar, Jayson S. Garcia, Harish A. Gonzales, Edzel V. Manaog, Monalisa C. Mendoza, Engr. Rionel B. Caldo

Abstract— In this work, the proponent modelled the Internet of Things
Based Smart Health Care Monitoring and Tracking System using
MATLAB Simulink. In simulating a temperature control system, the
proponent uses PID (Proportional-Integral-Derivative) for Matlab-SIMULINK based real-time temperature control modelling, Simulink-PS converter to convert the input Simulink signal into a physical
signal, using thermal libraries such as Ideal temperature source,
Thermal reference, and Ideal temperature sensor for getting
temperature before converting it to Simulink signal using PS-Simulink
converter. The system also gets the pulse rate using a bandpass filter
to pass pulse frequencies, a differentiator filter to differentiate all its
frequency components, and a QRS Detection block to detect peaks of
the filtered ECG signal in real-time if the temperature is abnormal the
temperature and pulse rate value will become 1 that defines a critical
rate. The proponents modelled a microcontroller to set parameters in
the Based Smart Health Care Monitoring and Tracking System.
Index Terms— PID controller, Simulink-PS converter, Ideal
temperature source, Thermal reference, Ideal temperature sensor, PS-Simulink converter, a bandpass filter, differentiator filter, QRS
Detection, ECG