BibTeX:

@article{IJIRSTV5I11014,
     title={IoMT Based Smart Health Care Monitoring System},
     author={Sandeep Kumar Polu},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={5},
     number={11},
     pages={58--64},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV5I11014.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

The present health care system is, for the most part, in-hospital based and incorporates occasional visits that has turned as a monotonous activity for the patients. In this paper, a complete and integrated healthcare model is described enabling Remote Health Monitoring (RPM) patients to daily collect vital signs at home and sending them to caretakers using the Internet of Medical Things (IoMT). This enables doctors to screen patients at a distance and take occasional activities if there should be an occurrence of need. A set of health parameters has been identified i.e. Electrocardiogram (ECG), Pulse rate, Temperature, and Blood Pressure by using wearable sensors. These sensors are connected to an Intel Edison Board. Once the Intel Edison Board is connected to the internet, it collects data from sensors and sends to the server. The vital parameters can be visualized and monitored on any remote smart device including laptops or smartphones which are connected under the same network. The proposed demonstrate empowers users to enhance monitoring of health-related dangers and lessen hospital costs by gathering, recording, breaking down and sharing extensive health information continuously and productively. The possibility of this task came so to decrease the cerebral pain of patient to visit a specialist each time he has to check his pulse, heartbeat rate, temperature and so forth. With the assistance of this proposal, the time of both patients and doctors are saved and doctors can also help in an emergency scenario as much as possible.

Internet of Things (IoT), Medical Services, Healthcare, Health Monitoring