Human Essential Parameters Monitoring and Precaution System
V. G. Amrita Deepika1, M. Aravind Srivatsan2, B. Aruthra3, Bindu Babu4
1V. G. Amrita Deepika, Student, Department of Electronics and Communication, Easwari Engineering College, Affiliated to Anna University, Ramapuram, Chennai (Tamil Nadu), India.
2M. Aravind Srivatsan, Student, Department of Electronics and Communication, Easwari Engineering College, Affiliated to Anna University , Ramapuram, Chennai (Tamil Nadu), India.
3B. Aruthra, Student, Department of Electronics and Communication, Easwari Engineering College, Affiliated to Anna University, Ramapuram, Chennai (Tamil Nadu), India.
4Bindu Babu, Assistant Professor, Department of Electronics and Communication, Easwari Engineering College , Affiliated to Anna University, Ramapuram, Chennai (Tamil Nadu), India.
Manuscript received on 10 May 2019 | Revised Manuscript received on 19 May 2019 | Manuscript Published on 23 May 2019 | PP: 1572-1577 | Volume-7 Issue-6S5 April 2019 | Retrieval Number: F12780476S519/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The growth of the internet era has paved way for development of numerous applications. IoT plays a vital role in designing the devices that are very helpful to people by just a click away from the services they want to use. All the devices,connected together by making use of internet connection and working for the same objective is termed to form an IoT environment. Increasing the number of the population has also seen an increase in the number of people suffering from numerous diseases. IoT is a boon to the health industry and is used in performing plenty of tasks. In this paper, we have proposed a health monitoring and precaution system using IoT devices such as GPS trackers and GSM. Use of various sensors are also done to continuously monitor the health of a patient and send the updates automatically to the doctors who are in remote places. As in remote areas, patients cannot have frequent access to the hospitals and this model will serve to eradicate this challenge. The model is efficient and reliable as the monitoring of a patient is done 24*7. The system is also connected to defibrillator for precaution purpose. The performance of the system is evaluated and is observed to be much efficient when compared to other traditional health monitoring systems for the patients in the hospitals.
Keywords: Health Monitoring, GPS, Navigation, IoT, Sensors, Hospital, Patient.
Scope of the Article: Monitoring and Management