A brief performance evaluation of ECG feature extraction techniques for artificial neural network based classification

IEEE Region 10 Annual International Conference, Proceedings/TENCON

Volumn , Issue , 2007, Pages

  Ghongade, Rajesh ^a   Ghato, A A ^b  

^a VISHWAKARMA INSTITUTE OF INFORMATION TECHNOLOGY   (India)

^b DR BABASAHEB AMBEDKAR TECHNOLOGICAL UNIVERSITY   (India)

Author keywords

DFT; DWT; ECG; Feature extraction; MLP; PCA

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; CLASSIFICATION (OF INFORMATION); DISCRETE FOURIER TRANSFORMS; DISCRETE WAVELET TRANSFORMS; ELECTRIC FAULT LOCATION; ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES; FINANCIAL DATA PROCESSING; FOURIER TRANSFORMS; LIGHTNING; NEURAL NETWORKS; PLASTIC PRODUCTS; PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING; VEGETATION; WAVELET TRANSFORMS;

ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; CARDIAC PROBLEMS; DFT; DWT; ECG; ECG SIGNALS; ELECTROCARDIOGRAM (ECG); EXTRACTION TECHNIQUES; HEART BEATS; HEART DISEASES; MLP; MORPHOLOGICAL FEATURES; PCA; PERFORMANCE EVALUATION; PREMATURE VENTRICULAR CONTRACTION; PRINCIPAL COMPONENTS;

FEATURE EXTRACTION;

EID: 48649091547     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TENCON.2007.4429096     Document Type: Conference Paper

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