Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network

Information Sciences

Volumn 405, Issue , 2017, Pages 81-90

  Acharya, U Rajendra ^a,b,c   Fujita, Hamido ^d   Lih, Oh Shu ^a   Hagiwara, Yuki ^a   Tan, Jen Hong ^a   Adam, Muhammad ^a  

^a DEPARTMENT OF ELECTRONICS AND COMPUTER ENGINEERING   (Singapore)

^b SINGAPORE UNIVERSITY OF SOCIAL SCIENCES   (Singapore)

^c UNIVERSITY OF MALAYA   (Malaysia)

^d IWATE PREFECTURAL UNIVERSITY   (Japan)

Author keywords

Arrhythmia; Atrial fibrillation; Atrial flutter; Convolution neural network; Deep learning; Electrocardiogram signals; Ventricular fibrillation

Indexed keywords

CARDIOVASCULAR SYSTEM; COMPUTER AIDED DIAGNOSIS; CONVOLUTION; DEEP LEARNING; DISEASES; FLUTTER (AERODYNAMICS); NEURAL NETWORKS;

ARRHYTHMIA; ATRIAL FIBRILLATION; ATRIAL FLUTTER; CONVOLUTION NEURAL NETWORK; ELECTROCARDIOGRAM SIGNAL; VENTRICULAR FIBRILLATION;

ELECTROCARDIOGRAPHY;

EID: 85017454416     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2017.04.012     Document Type: Article

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