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All Journal IAES International Journal of Artificial Intelligence (IJ-AI)
Mohammad Hafiz Ismail
Faculty of Computer & Mathematical Science, Universiti Teknologi MARA, Cawangan Perlis, Kampus Arau, Perlis, Malaysia
Computer Science & IT Engineering

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Heart rate events classification via explainable fuzzy logic systems Anis Jannah Dahalan; Tajul Rosli Razak; Mohammad Hafiz Ismail; Shukor Sanim Mohd Fauzi; Ray Adderley JM Gining
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 10, No 4: December 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v10.i4.pp1036-1047

Abstract

As people, we have no way of knowing whether our heart rate is considered normal or not. The strength and quality of our pulses will deteriorate as we get older. As a result, this may indicate a heart attack or another illness that requires immediate attention. The main goal of this paper is to define the heart rate stage using fuzzy logic systems (FLSs). In practice, however, designing or developing fuzzy logic systems is extremely difficult. To achieve this aim, we suggested a solution that involves: i) classifying the medical expert's criterion for signs of heart rate; ii) developing an explainable fuzzy logic system for heart rate measurement; and iii) evaluating the proposed system with human experts. In addition, the aim of this research was to provide an explainable fuzzy system that people could use to self-monitor heart rate levels and determine their health status. As a result, it is hoped that this research would provide insight into how to improve the development of fuzzy logic systems, especially in the field of medical applications.
Co-Authors Anis Jannah Dahalan Ray Adderley JM Gining Shukor Sanim Mohd Fauzi Tajul Rosli Razak