Title: Fuzzy logic-based decision-making system for asthma attack detection

Authors: Khaled M. Gharaibeh; Orobah Al-Momani

Addresses: Telecommunication Engineering Department, Hijjawi Faculty for Engineering Technology, Yarmouk University, Irbid 21163, Jordan ' Telecommunication Engineering Department, Hijjawi Faculty for Engineering Technology, Yarmouk University, Irbid 21163, Jordan

Abstract: In this paper, fuzzy logic is used for data fusion of Heart Rate (HR), Respiration Rate (RR) and saturation of oxygen (SpO₂) in order to obtain inference on the existence of asthma attack in asthmatic patients. The results presented in this paper show that fuzzy-based data fusion of these vital signs removes the rigid threshold values of these vital sign used in rule-based data fusion, and hence, better decision on the severity of asthma episodes can be made especially in a remote health monitoring settings.

Keywords: fuzzy logic; asthma attacks; decision making; remote monitoring; health monitoring; data fusion; body vital signs; rule-based data fusion; asthma attack detection; heart rate; respiration rate; saturation of oxygen; asthmatic patients.

DOI: 10.1504/IJBET.2014.062745

International Journal of Biomedical Engineering and Technology, 2014 Vol.15 No.2, pp.155 - 172

Received: 17 Mar 2014
Accepted: 16 May 2014
Published online: 21 Oct 2014 *

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