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- W2360799196 abstract "ECG(electrocardiogram) beat classification is very important for clinical automated detection of arrhythmia.Fuzzy reason could reflect the uncertain diagnosis rules of beat classification.Member function is the key to fuzzy reason system.In this paper,fuzzy input features were consisted of extracted accurately width of QRS complex waves and RR interval.A detail design of member function was presented based on fuzzy input statistics for all of normal and premature ventricular contraction beats of MIT-BIH arrhythmia database.Further,a fuzzy reason system was realized to classify ECG beats and was proved by experiment carrying out using all of ECG records in MIT-BIH arrhythmia database that better classification accuracy and clinical practical application are reached." @default.
- W2360799196 created "2016-06-24" @default.
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- W2360799196 date "2007-01-01" @default.
- W2360799196 modified "2023-09-28" @default.
- W2360799196 title "Beat Classification Based on Fuzzy Reason" @default.
- W2360799196 hasPublicationYear "2007" @default.
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