Interval type-2 fuzzy logic system for remote vital signs monitoring and shock level prediction
Publish place: Journal of Fuzzy Extension & Applications، Vol: 2، Issue: 1
Publish Year: 1400
نوع سند: مقاله ژورنالی
زبان: English
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JR_JFEA-2-1_005
تاریخ نمایه سازی: 15 فروردین 1400
Abstract:
Interval Type-2 Fuzzy Logic Systems (IT2 FLSs) have shown popularity, superiority, and more accuracy in performance in a number of applications in the last decade. This is due to its ability to cope with uncertainty and precisions adequately when compared with its type-1 counterpart. In this paper, an Interval Type-2 Fuzzy Logic System (IT2FLS) is employed for remote vital signs monitoring and predicting of shock level in cardiac patients. Also, the conventional, Type-1 Fuzzy Logic System (T1FLS) is applied to the prediction problems for comparison purpose. The cardiac patients’ health datasets were used to perform empirical comparison on the developed system. The result of study indicated that IT2FLS could coped with more information and handled more uncertainties in health data than T1FLS. The statistical evaluation using performance metrices indicated a minimal error with IT2FLS compared to its counterpart, T1FLS. It was generally observed that the shock level prediction experiment for cardiac patients showed the superiority of IT2FLS paradigm over T1FLS.
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Authors
Uduak Umoh
Department of Computer Science, University of Uyo, Uyo, PMB ۱۰۱۷, Uyo, Akwa Ibom State, Nigeria.
Samuel Udoh
Department of Computer Science, University of Uyo, Uyo, PMB ۱۰۱۷, Uyo, Akwa Ibom State, Nigeria.
Abdultaofeek Abayomi
Department of Information and Communication Technology, Mangosuthu University of Technology, P.O. Box ۱۲۳۶۳ Jacobs, ۴۰۲۶ Durban, South Africa.
Alimot Abdulzeez
Department of Computer Science, University of Uyo, Uyo, PMB ۱۰۱۷, Uyo, Akwa Ibom State, Nigeria.
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