Ischemia prediction via ECG using MLP and RBF predictors with ANFIS classifiers

Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011

Volumn 2, Issue , 2011, Pages 776-780

  Tonekabonipour, Hoda ^a   Emam, Ali ^a   Teshnelab, Mohamad ^b   Shoorehdeli, Mehdi Aliyari ^b,c  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

^c Advanced Process Automation and Control APAC   (Iran)

Author keywords

ANFIS; Classification; ECG; MLP; Neuro Fuzzy; Prediction; RBF

Indexed keywords

ANFIS; ANFIS CLASSIFIER; BASELINE WANDERING; BIOSIGNALS; EARLY DIAGNOSIS; ECG SIGNALS; ELECTROCARDIOGRAM SIGNAL; ISCHEMIA DISEASE; ISCHEMIC HEART DISEASE; MLP; MULTI LAYER PERCEPTRON; NEURO-FUZZY; NEURO-FUZZY NETWORK; NOISE SUPPRESSION; NONLINEAR CHARACTERISTICS; NONSTATIONARY; PRE-PROCESSING; PREDICTION METHODS; PREDICTOR ACCURACY; QRS COMPLEXES; RADIAL BASE FUNCTION; RBF; REAL-TIME PREDICTION; RECURSIVE PREDICTION; ROOT MEAN SQUARE ERRORS;

ALGORITHMS; CARDIOLOGY; CLASSIFICATION (OF INFORMATION); DISEASES; FORECASTING; MEAN SQUARE ERROR; RADIAL BASIS FUNCTION NETWORKS; RATING;

ELECTROCARDIOGRAPHY;

EID: 80053425857     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNC.2011.6022179     Document Type: Conference Paper

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