Arrhythmia disease classification using Artificial Neural Network model

2010 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2010

Volumn , Issue , 2010, Pages 653-656

  Jadhav, Shivajirao M ^a   Nalbalwar, Sanjay L ^a   Ghatol, Ashok A ^b  

^a DR BABASAHEB AMBEDKAR TECHNOLOGICAL UNIVERSITY   (India)

^b DY Patil Dental School   (India)

Author keywords

Accuracy; ECG arrhythmia; Momentum learning rule; Multilayer perceptron classification

Indexed keywords

ACCURACY; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORK MODELS; ATTRIBUTE VALUES; CARDIAC ARRHYTHMIA; CLASSIFICATION ACCURACY; CLASSIFICATION PERFORMANCE; CLASSIFICATION RESULTS; CLASSIFICATION SYSTEM; CORONARY ARTERY DISEASE; CROSS VALIDATION; DISEASE CLASSIFICATION; ECG ARRHYTHMIA; ECG SIGNALS; LEARNING RULES; MEAN SQUARED ERROR; MULTI-CLASS CLASSIFICATION; MULTILAYER PERCEPTRON CLASSIFICATION; MYOCARDIAL INFARCTION; NETWORK MODELS; RECEIVER OPERATING CHARACTERISTICS; SINUS BRADYCARDIA;

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION ALGORITHMS; DISEASES; ELECTROCHROMIC DEVICES; FEEDFORWARD NEURAL NETWORKS; LEARNING ALGORITHMS; MULTILAYERS;

ELECTROCARDIOGRAPHY;

EID: 79951807770     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCIC.2010.5705854     Document Type: Conference Paper

References (24)

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