Detection of abnormal cardiac condition using fuzzy inference system
by Lokanath Sarangi; Mihir Narayan Mohanty; Srikanta Patnaik
International Journal of Automation and Control (IJAAC), Vol. 11, No. 4, 2017

Abstract: The objective of this paper is to design an intelligent fuzzy inference system for detection of abnormal cardiac condition utilising four parameters such as ECG, blood pressure, blood sugar and cholesterol. The system designed using Sugeno defuzzification method. The system has been implemented by using MIT-BIH repository and MATLAB. And the result obtained out of this simulation shows efficiency better than 95%.

Online publication date: Thu, 05-Oct-2017

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