An Intelligent Approach Based Embedded System Design For Telemedicine Application

Mihir Narayan Mohanty


Introduction: Telemedicine application in the field of medicine creates a new age. It requires the technology to be compatible accordingly. Easy access and fast processing are the major focus in different applications. In this paper, an approach has been considered to diagnose heart diseases. Methods: The model is designed using fuzzy logic in which the rule-based principle is applied to satisfy the objective. Keeping a view of the multi-agent system the model is developed. The diagnosis of the patient is performed using Fuzzy Inference System (FIS).

Results: The pathological test results will help to form the rules of the model and can work for the diagnosis in a convenient way. Further, the result of detection is communicated through internet and SMS for monitoring and post care purpose of supporting IoT application. 

Conclusion: The simulated result shows its performance that can be helpful to the physicians as well as the patients from remote places.

Originality: The model is proposed for disease detection and monitoring patients on remote locations. Along with the distributed agents are proposed to act on a common platform using internet for the benefit of the society. This will save the time of physicians and travelling cost of the patient.

Limitations: The research results can be practiclly implemented in new medical equipments for hospitals with earlier equipments.


Diagnosis; Fuzzy Inference System; Fuzzy Rule Base; Multi-Agent System;


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