This paper is aimed to cater the needs of rural areas, where it helps in comprehensive diagnosis of the patient without the doctor in the same geographical location. The developed system is generally composed of 4 main configurable elements-ECG Machine, Developed fuzzy decision support system and telemedicine communication protocol. A Fuzzy based decision support system has been developed for identifying different arrhythmias Sinus bradycardia, sinus tachycardia, supraventricular tachycardia (SVT), ventricular tachycardia (VT), Atrial flutter, ventricular fibrillation, Sinus exit block, Junctional escape beat, sinus arrhythmia, which forms the core of the paper. In this paper, the subject’s Ventricular heart rate, QRS Width, QT and PR Interval collected from ECG waveform were passed to fuzzy analyzer developed. The developed fuzzy decision system helps in diagnosing and in the case of any abnormality it extends its help with a telemedicine application, by using web publishing tool. So that the doctor can pass the medical advice to the patient within the time. The developed fuzzy algorithm has been evaluated using mit-bih arrhythmia database and real time ECG’s from 94 individuals. The fuzzy analyzer proved to be 90.8% accurate and also Web publishing tool has been successfully implemented.