A robust and reliable ECG pattern classification using QRS morphological features and ANN

IEEE Region 10 Annual International Conference, Proceedings/TENCON

Volumn , Issue , 2008, Pages

  Ghongade, Rajesh ^a   Ghatol, Ashok ^b  

^a VISHWAKARMA INSTITUTE OF INFORMATION TECHNOLOGY   (India)

^b DR BABASAHEB AMBEDKAR TECHNOLOGICAL UNIVERSITY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ADDITIVE WHITE GAUSSIAN NOISE; ARTIFICIAL NEURAL NETWORK MODELS; ARTIFICIAL NEURAL NETWORKS; FEATURE VECTORS; MIT-BIH DATABASE; MORPHOLOGICAL FEATURES; NORMAL SINUS RHYTHMS; PATTERN CLASSIFICATIONS; PREMATURE BEATS; PREMATURE VENTRICULAR CONTRACTIONS; RBF NEURAL NETWORKS; TEST ACCURACIES; TRAINING PROCESS;

BACKPROPAGATION; ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES; FEATURE EXTRACTION; GAUSSIAN NOISE (ELECTRONIC); IMAGE RETRIEVAL; RADIAL BASIS FUNCTION NETWORKS; SUPPORT VECTOR MACHINES; WHITE NOISE;

NEURAL NETWORKS;

EID: 63049088756     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TENCON.2008.4766722     Document Type: Conference Paper

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