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International Journal of Research and Scientific Innovation (IJRSI) | Volume V, Issue VI, June 2018 | ISSN 2321–2705

An IoT Based Smart Healthcare System Using Raspberry Pi

Raghavendra K K, Sharanya P S, Shaila Patil

IJRISS Call for paper

 Assistant Professor, Department of Computer Science and Engineering,
Vivekananda College of Engineering and Technology, Puttur, Karnataka, India

Abstract— In the recent development Internet of Things (IoT) makes all objects interconnected and it has been recognized as the next technical revolution. Some of the applications of Internet of Things are smart parking, smart home, smart city, smart environment, industrial places, agriculture fields and health monitoring process. One such application is in healthcare to monitor the patient health status. The system is aimed to prevent delays in the arrival of patients medical information to the healthcare providers, particularly in accident and emergency situations, to stop manual data entering, and to increase beds capacity in hospitals, especially during public events where a large number of people are meeting in one place. The architecture for this system is based on medical sensors which measure patient’s physical parameters by using wireless sensor networks (WSNs). These sensors transfer data from patient’s bodies over the wireless network to the cloud environment. Thus Internet of Things in the medical field brings out the solution for effective patient monitoring at reduced cost and also reduces the trade-off between patient outcome and disease management. In this paper we discuss about, monitoring patient’s body temperature, heartbeat, blood pressure, ECG and body movement using Raspberry Pi board.

Keywords— Raspberry Pi board; Heartbeat sensor; Temperature sensor; Blood pressure sensor; Accelerometer sensor; ECG sensor; Internet of Things.

I. INTRODUCTION

The Internet of Things is the internet working of physical devices, vehicles, buildings, and other items—embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data. IoT can be used in monitoring patient’s health parameters. The unexpected occurrence in patient’s are monitored using IoT. In this paper specialized sensor is used to monitor patient’s heart rate, body temperature, body movement, blood pressure and ECG.

One of the key learning platforms for IoT is the Raspberry Pi. The Raspberry Pi is a popular platform became it offers a complete Linux server in a tiny platform for a very low cost. The Raspberry Pi allows interfacing services.