SIMAS: smart IoT model for acute stroke avoidance Online publication date: Mon, 06-May-2019
by Samaleswari Prasad Nayak; Surajit Das; S.C. Rai; Sateesh Kumar Pradhan
International Journal of Sensor Networks (IJSNET), Vol. 30, No. 2, 2019
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.
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