IOT Based Smart Health Care Monitoring System using Beaglebone Black

Mirza Nemath Ali Baig, Swathi Guntupalli, Rakesh Ranjan

Abstract


Healthcare is the maintenance or improvement of health via the diagnosis, treatment, and prevention of  disease, illness, injury, and other physical and mental impairments in human. It is one of the most promising applications of information technology. The Telemedical systems focus on the measurement and evaluation of vital parameters, e.g. ECG, heart rate, heart rate variability, EEG, pulse oximetry, plethysmography and fall detection.  The system described in this paper presents a personal healthcare system that is both flexible and scalable. Employing embedded wearable low-power sensors, the system measures health parameters dynamically. For wireless transmission, these sensors are connected to the data concentrator through ESP8266 Wi-Fi module .Beagle bone black (BBB) is used as a data concentrator or sensor node. The main task of Data Concentrators is to collect data which is originated from any devices in the network that is connected via wired or wireless interfaces and protocols. In this work, a system is designed to continuously monitor the physical health of an individual, the Electrocardiogram (EEG) and other vital parameters. This data is stored in a database and can be displayed in a website that can be accessed only by authorized personnel. This idea is familiar however; this paper presents a substantive and inexpensive method using BBB. The primary task of this system is to update the data to the database and alert the doctors for any aberrancy.

 



Keywords


Data Concentrators, Beaglebone Black (BBB) board, Internet of Things, ESP8266 Wi-Fi module, Healthcare, ECG, Health monitoring, Sensors system, ThingSpeak webserver.





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