An automated ECG beat classification system using convolutional neural networks

2016 6th International Conference on IT Convergence and Security, ICITCS 2016

Volumn , Issue , 2016, Pages

  Zubair, Muhammad ^a   Kim, Jinsul ^b   Yoon, Changwoo ^c  

^a University of Science and Technology (UST)   (South Korea)

^b Chonnam National University   (South Korea)

^c Electronics and Telecommunications Research Institute (ETRI)   (South Korea)

Author keywords

Convolutional neural networks (CNNs); ECG beat classification; Wearable device

Indexed keywords

AUDIO SYSTEMS; CLASSIFICATION (OF INFORMATION); COMPUTATIONAL EFFICIENCY; COMPUTER AIDED DIAGNOSIS; CONVOLUTION; DIAGNOSIS; ELECTROCARDIOGRAPHY; FEATURE EXTRACTION; NEURAL NETWORKS; PATTERN RECOGNITION; PATTERN RECOGNITION SYSTEMS;

CLASSIFICATION ACCURACY; CLASSIFICATION PERFORMANCE; CONVOLUTIONAL NEURAL NETWORK; ECG BEAT CLASSIFICATIONS; FEATURE EXTRACTION AND CLASSIFICATION; MEDICAL INSTRUMENTATION; STATE-OF-THE-ART METHODS; WEARABLE DEVICES;

BIOMEDICAL SIGNAL PROCESSING;

EID: 85006276781     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICITCS.2016.7740310     Document Type: Conference Paper

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