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

Marziyeh Bahrami, Maysam Toghraee, Atefeh Heidarian


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.


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

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