Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks

IEEE Transactions on Biomedical Engineering

Volumn 63, Issue 3, 2016, Pages 664-675

  Kiranyaz, Serkan ^a   Ince, Turker ^b   Gabbouj, Moncef ^c  

^a QATAR UNIVERSITY   (Qatar)

^b IZMIR UNIVERSITY OF ECONOMICS   (Turkey)

^c TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

Author keywords

Convolutional Neural Networks; Patient specific ECG classification; real time heart monitoring

Indexed keywords

BENCHMARKING; BIOMEDICAL SIGNAL PROCESSING; COMPUTATIONAL EFFICIENCY; CONVOLUTION; DATA MINING; ELECTROCARDIOGRAPHY; EXTRACTION; FEATURE EXTRACTION; MONITORING; NEURAL NETWORKS; PATIENT MONITORING;

ADAPTIVE IMPLEMENTATION; CLASSIFICATION PERFORMANCE; CONVOLUTIONAL NEURAL NETWORK; ECG CLASSIFICATIONS; FEATURE EXTRACTION AND CLASSIFICATION; HEART MONITORING; STATE-OF-THE-ART METHODS; VENTRICULAR ECTOPIC BEATS;

CLASSIFICATION (OF INFORMATION);

ARTICLE; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; CONVOLUTIONAL NEURAL NETWORK; ELECTROCARDIOGRAM; ELECTROCARDIOGRAPHY MONITORING; HEART BEAT; HEART SUPRAVENTRICULAR ARRHYTHMIA; HEART VENTRICLE EXTRASYSTOLE; HUMAN; ALGORITHM; ELECTROCARDIOGRAPHY; FACTUAL DATABASE; PERSONALIZED MEDICINE; PROCEDURES; SIGNAL PROCESSING;

ALGORITHMS; DATABASES, FACTUAL; ELECTROCARDIOGRAPHY; HUMANS; NEURAL NETWORKS (COMPUTER); PRECISION MEDICINE; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84962128752     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2015.2468589     Document Type: Article

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