Hybrid model based on neural networks, type-1 and type-2 fuzzy systems for 2-lead cardiac arrhythmia classification

作者：

Highlights：

• The hybrid intelligent model was built using artificial neural networks and fuzzy logic.

• This hybrid model was tested with the MIT-BIH arrhythmia database.

• A type-1 fuzzy system (type-1 FIS) and an interval type-2 fuzzy system (IT2FIS) were designed.

• The best classification rate results are obtained using IT2FIS instead of type-1 FIS in the basic units.

• A type-1 FIS is used to find a global classification for the 2 basic units in the hybrid model.

摘要

•The hybrid intelligent model was built using artificial neural networks and fuzzy logic.•This hybrid model was tested with the MIT-BIH arrhythmia database.•A type-1 fuzzy system (type-1 FIS) and an interval type-2 fuzzy system (IT2FIS) were designed.•The best classification rate results are obtained using IT2FIS instead of type-1 FIS in the basic units.•A type-1 FIS is used to find a global classification for the 2 basic units in the hybrid model.

论文关键词：Fuzzy KNN algorithm,Neural networks,Fuzzy system,Interval type-2 fuzzy system,Cardiac arrhythmia classification

论文评审过程：Received 25 November 2018, Revised 19 February 2019, Accepted 26 February 2019, Available online 27 February 2019, Version of Record 4 March 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.02.035