Health care Monitoring System and Analytics Based on Internet of Things Framework

The Internet of things (IoT) has been a controversial domain of inquiry in engineering applications since the term was first introduced in 2000. The emergence of IoT also promotes the advancement of health care monitoring from face-to-face consultation to telemedicine or eHealth system. This paper presents the prototyping of an embedded health care monitoring system based on the IoT paradigm. The proposed system architecture consists of three sensors for the measurement of three basic vital signs, i.e. body temperature, pulse rate, and blood pressure. The integrated sensors are interfaced with the Intel Edison platform, and the output readings are transferred to IBM Bluemix for cloud storage and display. Taking advantage of IoT, the condition of the physical body can be monitored remotely and diagnosed with anomalies by doctors. The paper also presents the health care analytical framework related to diabetes and kidney disease. The prediction results from the analytics show the potential of the classification model to be integrated into the proposed system to identify the potential risk of certain diseases at early stages of early treatment. In the preliminary investigation, the accuracy of the developed model to differentiate between a healthy person and patients with diabetes and kidney disease is 90.54% and 87.88%, respectively. Concerning the functionality of the proposed system architecture, the sensors' measurement accuracy is above 90% compared to conventional medical equipment.