Design and Development of Scalable IoT Framework for Healthcare Application

With increasingly fast-paced life and alarmingly high rate of chronic ailments in general population, there is a need for quickening the current process of healthcare monitoring, especially in emergency situations. The recent developments in communication technology, especially in the field of Internet of Things (IoT) have enhanced the accessibility of such systems. This can be achieved by transmitting/uploading the data of various health parameters acquired by different physiological sensors with wireless sensor networks onto the cloud platform. This data later can be accessed by the concerned medical authorities when required for diagnosis. In this work, we focus on the development of the scalable IoT framework for monitoring the physiological parameters of the patient. The customized MATLAB-based GUI is designed to perform real-time analysis of sensor’s data which is used for continuous monitoring of vital parameters of the body. We have developed a wearable band which can be worn as a wristband by the patient. The band consists of temperature, pulse, and ECG sensors those are used to transmit the vital parameters of the patient integrated with the ultra-low-power battery-operated Texas Instruments MSP430 microcontroller with CC110L sub-1 GHz RF wireless transceiver. The concept is successfully demonstrated by transmitting three physiological parameters wirelessly over 100 m distance as well as over the cloud platform.