This paper is published in Volume-5, Issue-3, 2019
Area
Electronics and Communication
Author
Sahana B. R., B. S. Nanda
Org/Univ
PES College of Engineering, Mandya, Karnataka, India
Pub. Date
23 May, 2019
Paper ID
V5I3-1568
Publisher
Keywords
Raspberry Pi board, Heartbeat sensor, Temperature sensor, Blood pressure sensor, Accelerometer sensor, ECG sensor, Internet of Things

Citationsacebook

IEEE
Sahana B. R., B. S. Nanda. Advanced healthcare monitoring system using Raspberry Pi 3 based on Internet of Things (IoT), International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Sahana B. R., B. S. Nanda (2019). Advanced healthcare monitoring system using Raspberry Pi 3 based on Internet of Things (IoT). International Journal of Advance Research, Ideas and Innovations in Technology, 5(3) www.IJARIIT.com.

MLA
Sahana B. R., B. S. Nanda. "Advanced healthcare monitoring system using Raspberry Pi 3 based on Internet of Things (IoT)." International Journal of Advance Research, Ideas and Innovations in Technology 5.3 (2019). www.IJARIIT.com.

Abstract

In the recent development Internet of Things (IoT) makes all objects interconnected and it's been recognized because of the next technical revolution. A number of the applications of the Internet of Things square measure good parking, smart home, smart city, good atmosphere, industrial places, agriculture fields, and health watching method. One such application is inattention to observe the patient health standing. The system is aimed to stop delays within the arrival of patient’s medical info to the attention suppliers, significantly in an accident and emergency things, to prevent manual information coming into, and to extend beds capability in hospitals, particularly throughout public events wherever an outsized variety of individual’s square measure meeting in one place. The design for this technique is predicated on medical detectors that live patient’s physical parameters by victimization wireless sensor networks (WSNs). These sensors transfer information from patient’s bodies over the wireless network to the cloud atmosphere. Hence Internet of Things within the medical field brings out the answer for effective patient watching at a reduced value and conjointly reduces the trade-off between patient outcome and sickness management. In this paper, we have a tendency to discuss regarding, watching patient's blood pressure, heartbeat, temperature, ECG and body movement victimization Raspberry Pi board.