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*Dr.P. Amirtharaj, K.Rajeswari, N.Viveka .


In today's fast world owing to advancement in medical technology, health care has become one of the most striking application areas for the Internet of Things (IoT). There is a huge competition in building up high-speed health care           services. The IoT has the prospective to offer many medical applications such as remote health monitoring, elder care, and chronic diseases especially heart disease monitoring and emergency support for the needy people. The study suggests a system that will improve the performance of health care even in the rural areas. Tracking patient's location, sensing parameters like blood pressure, glucose, breathing rate and automatic data collection and analysis of the data will take the IoT to the next level of health care applications. State-of-the-art IoT health care system built with Decision Support System (DSS) will definitely help the patients and doctors in critical conditions. Proposed work targets Ischemic Heart Disease (IHD) with IoT application.

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Pang, Z(2013),"Technologies and architectures of the Internet-of-Things (IoT)for health and well-being," M.S. thesis, Dept. Electron. Comput. Syst.,KTH-Roy. Inst. Technol., Stockholm, Sweden, Jan. 2013.

Vasanth, K and Sbert, J . Creating solutions for health through technology innovation. Texas Instruments. [Online] available at: sszy006.pdf (accessed 1 October, 2016).

Ashok Khanna, Prateep Misra, "The Internet of Things for Medical Devices prospects, challenges and the way forward. [Online]. Available at:

http://www.tcs. com/SiteCollectionDocuments/ White%20Papers/Internet-of-Things-Medical-Devices_0714-2.pdf, accessed 1 October, 2016).

Suriya Begum, Venugopal(2016), "Comparison of various techniques in IoT for health care system", International Journal of Computer Science and Mobile Computing, Vol.5 No3, pp. 59-66.

Abdullah, A., Ismael,A., Rashid,A., Abou-ElNour, A and Tarique,M(2015), "Real time health monitoring application using mobile devices", IJCNC, Vol.7, No.3

LobnaYehia, AymanKhedr, Ashraf Darwish(2015), "Hybrid Security Techniques for Internet of Things Healthcare Applications", Advances in Internet of Things, Vol 5, pp 21-25.

Yvette E. Gelogo, Ha Jin Hwang and Haeng-Kon Kim(2015), "Internet of Things (IoT) Framework for u-healthcare System", International Journal of Smart Home, Vol. 9, No. 11.

Evdokimos I. Konstantinidis, Giorgos Bamparopoulos[2015], Antonis BILLIS and Panagiotis D. BAMIDIS, "Internet of Things for an Age-Friendly Healthcare".

Punit Gupta, Deepika Agrawal, Jasmeet Chhabra, Pulkit Kumar Dhir[2016], "IoT based Smart healthcare kit", IEEE International Conference on Computational Techniques in Information and Communication Technologies 1 October, 2016).

https://www.healmvault.corn/in/en/overview (accessed 1 October, 2016).

Mathias Cousin, Tadashi Castillo - Hi, Glenn H.Synder, "Devices and diseases: How the IoT is transforming medtech", http:// dupress. deloitte. com/ dup-us -en/focus/internet-of-things/iot-in-medical-devices-industry.html#endnote-sup-5

RJ Krawiec, Jessica Nadler, Elan Tye, Jennifer Jarboe, " No appointment necessary: How the IoT and Patient generated data can unlock health care value", 2(accessed 1 October, 2016). 11-slides/(accessed 1 October, 2016).

Oystein Dale and Kaare Birger Hagen(2007), "Despite technical problems personal digital assistants outperform pen and paper when collecting patient diary data," Journal of Clinical Epidemiology, Vol. 60, No. 1, pp. 8-17.

Mary Jo Deering(2013), "Patient-generated health data and health IT," Office of the National Coordinator for Health IT, pghd_brief_finall22013.pdf. (accessed 1 October, 2016).

Gabriel Beltrone (2014), "Life alert's new ad is terrifying, and people are not happy about it," AdWeek, www. adweek. com/ adfreak/life-alerts-new-ad-terrifying-and-viewers-are-not-happy-about-it-159750 (accessed 1 October, 2016).

Shany, T., Redmond, SJ., Narayanan,MR, Lovell, NH (2012), "Sensors-based wearable systems for monitoring of human movement and falls," IEEE Sensors Journal Vol. 12, No.3, pp. 658-70.

Raul Igual, Carlos Medrano, Inmaculada Plaza(2013), "Challenges, issues and trends in fall detection systems".Biomedical Engineering Vol.12.

Patel, S., Park, H., Bonato, P., Chan, L. and Rodgers, M., 2012. A review of wearable sensors and systems with application in rehabilitation. Journal of neuroengineering and rehabilitation, 9(1),P-l-

Darrell West (2012), "How mobile devices are transforming healthcare," Issues in Technology Innovation 18, No. 1, pp. 1-11.

Wu, R, Peters, W., Morgan, MW(2002), The Next Generation Clinical Decision Support: Linking Evidence to Best Practice. Journal Health care Information Management ,Vol. 16, No.4, pp. 50-55.

EI Ouardighi, EI Akadi, and Aboutajdine, D(2007), " Feature selection on supervised classification using Wilk's lambda statistic", 3rd International Symposium on Computational Intelligence and Intelligent Informatics -ISCIII, IEEE. Pp. 51-55.

Arikan, Umut, and Fikret Gurgen(2012), " Discrimination Ability of Time-Domain Features and Rules for Arrhythmia Classification. Mathematical and Computational Applications" Vol. 17 , No.2, pp. 111-120.

Agrawal, Rakesh, and Ramakrishnan Srikant(1994), " Fast algorithms for mining association rules", Proceedings of 20th International Conference on Very Large Data Bases.

Borgelt, C, Kruse,R (2002), " Induction of Association Rules: Apriori Implementation. Compstst, Physica-Verlag, pp. 395-400.

Xu Li(2006), " Advances in intelligent information processing", Expert Systems, Vol. 23, No.5 pp.249-250.

Han , J., Kamber, M(2001), " Datamining: Concepts and techniques

", San Francisco, CA: Morgan Kaufmann Publishers.

Parthiban, Latha, and Subramanian, R(2008), " Intelligent heart disease prediction system using CANFIS and genetic algorithm". International Journal of Biological, Biomedical and Medical Sciences. Vol. 3, No.3, pp. 157-160

Ganji, Mostafa Fathi, Mohammad Saniee Abadeh. Using fuzzy ant colony optimization for diagnosis of diabetes disease. 18th Iranian Conference on Electrical Engineering (ICEE), IEEE. 2010; 501-505.

Innocent, PR., Barnes,MR, John,RI( 1997), "Application of the Fuzzy ART/MAP and MinMax/MAP Neural Network models to Radiographic Image Classification", Artificial Intelligence in Medicine, Vol. 11, No.3, pp.241-263.

Ahmad, F., Mat Isa, NA., Hussain, Z., Osman, MK(2013), " Intelligent medical disease diagnosis using improved genetic algorithm - multilayer perceptron network", Journal of Medical Systems.Vol. 37, No.2, 9934.

Pandey, Babita, and Mishra, RB(2009), "Knowledge and intelligent computing system in medicine", Computers in biology and medicine, Vol. 39, No.3, pp. 215-230.

Xu Li(2006), " Advances in intelligent information processing", Expert Systems., Vol. 23, No.5, pp. 249-250.

Tang., Lilian ,HY., Rudolf Hanka., Horace, HS(1999), " A review of intelligent content-based indexing and browsing of medical images", Health Informatics Journal, Vol. 5, No. 1, pp. 40-49.

Sivagaminathan, Rahul Karthik, and Sreeram Ramakrishnan(2007), " A hybrid approach for feature subset selection using neural networks and ant colony optimization", Expert systems with applications, Vol 33, No.l, pp. 49-60.

Rajeswari, K., and V. Vaithiyanathan(2011), "Heart disease diagnosis: an efficient decision support system based on fuzzy logic and genetic algorithm. "International Journal of Decision Sciences, Risk and Management Vol.3, No.2,pp. 81-97.

Anna-Leena Vuorinen, Juha Leppanen, Hannu Kaijanranta, Minna Kulju, Tiina Helio, Mark van Gils, Jaakko Lahteenmaki(2014), "Use of Home Telemonitoring to Support Multidisciplinary Care of Heart Failure Patients in Finland: Randomized Controlled Trial", Journal of Medical Internet Research. (accessed 1 November, 2016).


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