International Journal of Engineering Research in Electronics and Communication Engineering

An Intelligent Health Care Service by Using Collaborations Between IOT Personal Health Devices

Author : Ranjitha V ¹ Navyashree R ² Ramya M ³ Sharath Sagar Reddy ⁴ Mr M Ventatesh Kumar ⁵

Date of Publication :25th November 2016

Abstract: Management of chronic diseases is important to self-management for health. The IoT concept plays a significant role in self-management for health. In order to accomplish it, personal health devices need two functions such as application network protocol and intelligent service. But, most of them have only simple function such as indicating measured data and storing data temporarily. In this research, we proposed an intelligent service model for healthcare which gives an effective feedback to an individual. In order to do this, we introduced the collaboration protocol which transfers risk factors between IoT personal health devices. In addition to this, we proposed intellectualized service application algorithm which will be operated in the personal health device. Finally, based on the findings of the experiment, the effectiveness was confirmed on proposed model

Reference :

1. J. Morak, H. Kumpusch, D. Hayn, R. ModreOsprian and G. Schreier, “Design and Evaluation of a Telemonitoring Concept Based on NFCEnabled Mobile Phones and Sensor Devices”, IEEE Transactions on Information Technology in Biomedicine, vol. 16, no. 1, (2012), pp. 17-23.
2. V. Upkar, “Pervasive Healthcare and Wireless Health Monitoring. Mobile Network Application”, KSII Trans. on Internet and Information Systems, vol. 12, (2007), pp. 113- 127.
3. J. P. C. R. Joel, R. E. P. Orlando and A. C. S. N. Paulo, “Biofeedback data visualization for body sensor networks”, J. Network and Computer Applications, (2011), pp. 151-158.
4. B. M. Lee and J. Ouyang, “Application Protocol adapted to Health Awareness for Smart Healthcare Service”, In the proc. of International Workshop of Multimedia 2013, Advanced Science and Technology Letters, vol. 43, (2013), pp. 101-104.
5. C. Min, W. Jiafu and L. Fang, “Machine-toMachine Communications: Architectures, Standards and applications”, KSII Trans. on Internet and Information Systems, (2012), pp. 480-497. A. Jian, G. Xiao-lin, Y. Jian-wei, Z. Wen-dong and J. Jin-hua, “Research on a Mobile-aware Service Model in the Internet of Things”,KSII Transaction on Internet and Information Systems, vol. 7, no. 5, (2013), pp. 1146-1165.
6. Joint National Committee, “Prevention, Detection, Evaluation, and Treatment of High Blood Pressure”, The 7 th Report of the JNC, U.S. Dept. of Health and Human Services, (2004).
7. K. Richard, F. Ele, B. John and S. Michael, “The Metabolic Syndrome Time: for a Critical Appraisal. Diabetes Care”, vol. 28, no. 9, (2005), pp. 2289-2304.
8. American Diabetes Association, “Standards of medical care in diabetes. Diabetes Care 31 (Suppl 1)”, (2008), pp. 12-54. “Definition and Diagnosis of Diabetes Mellitus and Intermediate Hyperglycemia”, World Health Organization, (2006).
9. M. L. James, C. Y. Donald, A. R. Joseph and M. D. Ronald, “Obesity: Assessment and Management in Primary Care”, American Family Physician, vol. 63, no. 11, (2001), pp. 2185-2196
10. A. Sarita and L. D. Manik, “Internet of Things – A Paradigm Shift of Future Internet Applications”, Institute of Technology, Nirma University, (2011), pp. 1-7