This paper is published in Volume-5, Issue-2, 2019
Area
Internet Of Things
Author
Siva Priya S.
Co-authors
Shruthi M. G., Sruthi S.
Org/Univ
Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India
Pub. Date
12 March, 2019
Paper ID
V5I2-1243
Publisher
Keywords
IoT, Machine learning, KNN, Emergency

Citationsacebook

IEEE
Siva Priya S., Shruthi M. G., Sruthi S.. Patient health monitoring system, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Siva Priya S., Shruthi M. G., Sruthi S. (2019). Patient health monitoring system. International Journal of Advance Research, Ideas and Innovations in Technology, 5(2) www.IJARIIT.com.

MLA
Siva Priya S., Shruthi M. G., Sruthi S.. "Patient health monitoring system." International Journal of Advance Research, Ideas and Innovations in Technology 5.2 (2019). www.IJARIIT.com.

Abstract

Health is one of the primary capabilities that a human need to go on with his life. That is the main reason the healthcare provided to the human must be bestowed in ample means and effective ways to ensure his health based on health monitoring parameters and the medical assistance being provided directly. The new technological development and its implementation now involve the internet and the sensors often known as the Internet of Things (IoT), which enables the worldwide approach to the health care base system development. This steers to the health system management that in a real-time approach it supplies a set of particulars relevant to the patient being monitored. In all the countries the death rates are becoming high due to the absence of well-timed medical treatments. These can be shut out through standard health care. The paper puts forward an IoT approach for a superior health monitoring system, by involving the sensors where they sense the body temperature plus the heartbeat and tells the doctor or the attending staff of the patient about the state of the patient. The project uses the KNN algorithm to predict the shape and condition of the sufferer to prevent them from going into further bad state. When the bad condition of the patient is predicted and detected by the system, it sends mail to the doctor in the most emergency situation or else in other cases it keeps on updating the sensed values in the web page created. The system also includes a buzzer beeping situation, where the beeping occurs when the nurse has to be notified of the state of the patient. Whereas, the previous systems developed did not do the predicting part, which plays the most important role in taking care of the patient. Thus, the project results in taking the greatest possible measure in helping the patients improve their situation.
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