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Heart Attack Detection in Internet of Things: Modeling with Health Markov Game Theory

Marziyeh Bahrami, Maysam Toghraee, Atefeh Heidarian

Abstract


Introduction: With the advent of IoT, will see exciting developments in the 21st century. Although most IoT is related to future products, warehousing, and smart factories, it is not limited to these, and are seeing significant improvements in the health care sector, including Reducing lab room waiting times; Remote and surveillance; Ensure access and availability of critical hardware; Personnel, patients and inventory tracking; Advanced medical management; Chronic illness management. Objective: Design an intelligent system for IoT based technology. Proposed Methods: First: Combining Game Theory Model and Proposed Markov Model and Research Status by Reviewing Articles on IoT and Intelligent Systems for Myocardial Infarction and Finally, according to Research Results, Using Soft Engineering Method MATLAB software is used to complete the design of an intelligent system for cardiac diagnosis. The purpose of this simulation is to save time; reduce the problems, combine the strategies into the dominant and weak dominant strategies, and combine different heart diseases with the combined strategy. Results: Based on smart systems based on hybrid strategy technology combined with Markov model and game theory, the processes of diagnosing different diseases, especially myocardial infarction, blood disease design, as well as predicting all cardiovascular diseases It is simulated in software environment.

Keywords


Internet of Things, Heart Attack Detection, Game Theory, Markov Model.

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References


A. Al-Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari and M. Ayyash, “Internet of things: A survey on enabling technologies, protocols and applications”. IEEE Communications Surveys & Tutorials, vol. 17, pp. 2347 – 2376, 2015.

S.M.R. Islam, D. Kwak, H. Kabir, M. Hossain and K.S. Kwak, “The Internet of Things for Health Care: A Comprehensive Survey”. IEEE Access, vol. 3, pp. 678-708, 2015.

BAHRAMI, Marziyeh; ESMAEILI, Mohammad, ‘Convergence of IoT and WBSN for Smart Control of Patients Health’, Networking and Communication Engineering, v. 9, n. 7, p. 161-168, Aug. 2017.

Y. Yin, Y. Zeng, X. Chen, Y. Fan, "The Internet of Things in healthcare: An overview", J. Ind. Inf. Integr., vol. 1, pp. 3-13, Mar. 2016.

C. A. Tokognon, B. Gao, G. Tian, Y. Yan, "Structural health monitoring framework based on Internet of Things: A survey", IEEE Internet Things J., vol. 4, no. 3, pp. 619-635, Jun. 2017.

Yusuf Perwej, Kashiful Haq, Firoj Parwej, Mumdouh Mirghani Mohamed Hassan, “The Internet of Things (IoT) and its Application Domains”, International Journal of Computer Applications (IJCA) , Vol. 182, No.49, Pages 36-49, April 2019.

Li, X. HU and L. Zhang, “The IoT-based heart disease monitoring system for pervasive healthcare service”. Procedia Computer Science, vol. 112, pp. 2328-2334, 2017.

I.Cadez; D.Heckerman; C.Meek; P.Smyth; S.White , "Visualization of Navigation Patterns on a Web Site Using Model Combine game teorey&markov”, ACM SIGMOD International Conference on Knowledge Discovery and Data Mining, ACM Press, Washington DC, USA, pp.280-284, 2018.

Wolfe R, Abramson MJ. “Modern statistical methods in respiratory medicine”. Respirology; pp.9-13, 2014.

Zhou C, Huang S, Xiong N, Yang SH, Li H, Qin Y, et al. “Design and Analysis of Multimodel- Based Anomaly Intrusion Detection Systems in Industrial Process Automation”. IEEE Trans Syst Man Cybern B Cybern; pp.1345-1360, 2015.

Bilal S, Akmeliawati R, Shafie AA, Salami MJE. “Hidden Markov model for human to computer interaction: a study on human hand gesture recognition”. Artificial Intelligence Review; pp.495-516, 2013.

Vimala K. “Stress causing Arrhythmia Detection from ECG Signal using HMM”. IJIRCCE; pp.6079-6085, 2014.

Li HM, Fang LY, Wang P, Yan JZ. “Hidden Markvo Models Based Research on Lung Cancer Progress Modeling”. Research Journal of Applied Sciences, Engineering and Technology; pp.2470-2473, 2013.

Lee HK, Lee J, Kim H, Ha JY, Lee KJ. “Snoring detection using a piezo snoring sensor based on hidden Markov models”. Physiol Meas; 34(5):41, 2013.

Orak R. “Tuberculosis Surveillance Using a Hidden Markov Model”, IJPH; 41(10):87, 2012.

Wu H, Kim S, Bae K, editors. “Hidden Markov Model with heart sound signals for identification of heart diseases”. Proceedings of 20th International Congress on Acoustics (ICA), Sydney, Australia; 23-27 August 2010.

M. Deshpande; G. Karypis, “Models for combine markov Page Accesses”, Transactions on Internet Technology 4(2), 163–184, 2012.

Rabin, Matthew,"Incorporating Fairness into Game Theory and Economics," American Economic Review, American Economic Association, vol. 83(5), pages 1281-1302, December 2012.

Chin, S.H.;"On application of game theory for understanding trust in networks," Collaborative Technologies and Systems, 2009. CTS '09. International Symposium on, vol., no., pp.106-110, 18-22 May 2009.

Cochard, Francois, Nguyen Van, Phu and Willinger, Marc, “Trusting behavior in a repeated investment game,” Journal of Economic Behavior & Organization, 55, issue 1, 2017.

Gary Charness, Ninghua Du, Chun-Lei Yang, “Trust and trustworthiness reputations in an investment in IOT,” Games and Economic Behavior, Volume 72, Issue 2, Pages 361-375, June 2011.

M. Deshpande; G. Karypis, “Models for combine markov Page Accesses”, Transactions on Internet Technology 4(2), 163–184, 2012.


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