Title: Detection of abnormal cardiac condition using fuzzy inference system

Authors: Lokanath Sarangi; Mihir Narayan Mohanty; Srikanta Patnaik

Addresses: ITER, Siksha 'O' Anusandhan University, Jagamohan Nagar, Khandagiri, Bhubaneswar, Odisha, India ' ITER, Siksha 'O' Anusandhan University, Jagamohan Nagar, Khandagiri, Bhubaneswar, Odisha, India ' ITER, Siksha 'O' Anusandhan University, Jagamohan Nagar, Khandagiri, Bhubaneswar, Odisha, India

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%.

Keywords: fuzzy inference system; diagnosis; fuzzy rule base.

DOI: 10.1504/IJAAC.2017.087045

International Journal of Automation and Control, 2017 Vol.11 No.4, pp.372 - 383

Received: 02 Sep 2016
Accepted: 14 Oct 2016
Published online: 05 Oct 2017 *

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