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{"references": ["Rathore, D. K., Upmanyu, A., & Lulla, D. (2013, December). Wireless patient health monitoring system. In 2013 International Conference On Signal Processing And Communication (Icsc) (pp. 415-418). IEEE.", "Khan, T., & Chattopadhyay, M. K. (2017, August). Smart health monitoring system. In 2017 International Conference on Information, Communication, Instrumentation and Control (ICICIC) (pp. 1-6). IEEE.", "Reza, T., Shoilee, S. B. A., Akhand, S. M., & Khan, M. M. (2017, February). Development of android based pulse monitoring system. In 2017 Second International Conference on Electrical, Computer and Communication Technologies (ICECCT) (pp. 1-7). IEEE.", "Sneha, B., Bhavana, V., Brunda, S., Murali, T. S., Puneeth, S., & Ravikiran, B. A. (2015, October). A wireless based patient monitoring system using Android technology. In 2015 International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT) (pp. 39-44). IEEE.", "Trivedi, S., & Cheeran, A. N. (2017, June). Android based health parameter monitoring. In 2017 International Conference on Intelligent Computing and Control Systems (ICICCS) (pp. 1145-1149). IEEE.", "https://nevonprojects.com/androidsmart- health-monitoring-system", "https://projectsgeek.com/2015/01/healt h-monitor-android-project.html", "https://www.ncbi.nlm.nih.gov/pmc/arti cles/PMC5488109/.", "https://www.sciencephoto.com/media/6 95680/view/headache-typesillustration"]}
The present work proposes an efficient application of smart health monitoring primarily about migraine analysis. This project application also calculates BMI and does step tracking pedometer.
Health monitoring, Migraine, Pedometer, BMI.
Health monitoring, Migraine, Pedometer, BMI.
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