Constructing fuzzy ontology for cardiac arrhythmias

Abstract

Cardiac arrhythmias are perturbation in the rhythm of the heart, evident by abnormally fast rates or abnormally slow rates or irregular rates. Body sensor networks (BSNs) are used to monitor ECG signals continuously to diagnose early abnormalities. ECG signal can be impaired due to network transmission problems, low battery power, and noise. The need increase to represent knowledge about arrhythmia concepts, properties, and types to describe that highly sensitive medical domain. We propose the construction of a fuzzy ontology for the cardiac arrhythmias disease to handle the reality and uncertainty of the cardiac arrhythmias disease. Our fuzzy ontology contains diseases, symptoms, diagnosis, and treatments, using the standard Web Ontology Language (OWL2) and FuzzyOWL2 plug-in for protégé. The cardiac arrhythmias diseases hierarchy and terms are determined upon the standard Disease Ontology (DO).