IOT Based Health Monitoring Wearable Device Using Security Mechanisms for Storage

International Journal of Computer Trends and Technology (IJCTT)          
© 2018 by IJCTT Journal
Volume-57 Number-1
Year of Publication : 2018
Authors : Mrs. G. Abinaya, Mr. Kartik Singh Rathore, Ms. Anushka Khandelwal, Mr. Ritik Raj, Ms. Sonal Gupta
DOI :  10.14445/22312803/IJCTT-V57P110


Mrs. G. Abinaya, Mr. Kartik Singh Rathore, Ms. Anushka Khandelwal, Mr. Ritik Raj, Ms. Sonal Gupta "IOT Based Health Monitoring Wearable Device Using Security Mechanisms for Storage ". International Journal of Computer Trends and Technology (IJCTT) V57(1):56-62, March 2018. ISSN:2231-2803. Published by Seventh Sense Research Group.

Medical science has been moving forward at a rapid rate, so as the cost of affording the health care. Time has witnessed an exponential increase in health care costs in the last few decades. In order to get the vital signs tested, people have to make frequent visits to the clinic. The objective of this project is to design and implement a reliable, cheap, low powered, and accurate system that can be worn on a regular basis and monitor the vital signs and displays the parameters like the pulse rate, body temperature and minute flow rate of respiration to the user`s cell phone. The data will also be easily accessible by the physician through wireless networks. This project specifically deals with the signal conditioning and data acquisition of three vital signs: heart rate, respiratory patterns, and body temperature. With this project, we propose a system for monitoring of heart rate, the body temperature of the person with dedicated sensors using microcontroller Arduino UNO R3 along with respective sensors. The system is coded into Arduino IDE. A perfect tradeoff between accuracy and cost of the system is accomplished by choosing appropriate sensors which are DS18B20 (temperature sensor), SEN-11574 (pulse rate sensor) and, ADS1292R (respiratory sensor). The pulse rate and temperature of a person along with respiratory patterns are measured at different time instants by the sensors. The data will be stored in cloud storage using symmetric key cryptography algorithms such as AES, and BR-Algorithm. The data then can be retrieved using three-step cipher text data retrieval method DES or step-by-step RSA algorithm, to a wireless-enabled mobile device/display device using a unique identification technique.

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Algorithms, Arduino UNO R3, Cloud Storage, Health Care, IOT, Network, Services