Title: SIMAS: smart IoT model for acute stroke avoidance

Authors: Samaleswari Prasad Nayak; Surajit Das; S.C. Rai; Sateesh Kumar Pradhan

Addresses: Department of Computer Science and Engineering, Silicon Institute of Technology, Bhubaneswar, 751024, India ' Department of Master of Computer Applications, Trident Academy of Creative Technology, Bhubaneswar, 751024, India ' Department of Information Technology, Silicon Institute of Technology, Bhubaneswar, 751024, India ' P.G. Department of Computer Science and Applications, Utkal University, Bhubaneswar, 751004, India

Abstract: There is an increase of chronic heart diseases, which require periodic monitoring and anytime healthcare nursing facility to a patient. Due to several constraints, availing physical medical healthcare is a nightmare for some patients. With the advancement in medical sciences and Internet of Things (IoT), the status of a patient can be monitored ubiquitously. As a primary diagnostic assessment, correct heart rate and body temperature are the two necessary parameters to be measured first. Considering the scenario we have developed an IoT based healthcare model SIMAS, to record both parameters efficiently and with desired accuracy. It would be suitable for the persons undergoing intense physical activities - especially sports persons. The collection of real-time data can be carried out by the body sensors attached to the person and can also be monitored remotely. In addition the online monitoring process ensures prevention of any mishaps at any event places.

Keywords: heart rate; humidity; IoT; Internet of Things; NodeMCU; real-time; remote patient monitoring.

DOI: 10.1504/IJSNET.2019.099471

International Journal of Sensor Networks, 2019 Vol.30 No.2, pp.83 - 92

Received: 15 Jul 2018
Accepted: 08 Jan 2019

Published online: 01 May 2019 *

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