Automated detection and localization of myocardial infarction using electrocardiogram: A comparative study of different leads

Knowledge-Based Systems

Volumn 99, Issue , 2016, Pages 146-156

  Acharya, U Rajendra ^a,b,c   Fujita, Hamido ^d   Sudarshan, Vidya K ^a   Oh, Shu Lih ^a   Adam, Muhammad ^a   Koh, Joel E W ^a   Tan, Jen Hong ^a   Ghista, Dhanjoo N ^e   Martis, Roshan Joy ^f   Chua, Chua K ^a   Poo, Chua Kok ^a   Tan, Ru San ^g  

^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)

^e University 2020 Foundation   (United States)

^f ST JOSEPH ENGINEERING COLLEGE   (India)

^g DEPARTMENT OF CARDIOLOGY   (Singapore)

Author keywords

Classifier; Discrete wavelet transform; Electrocardiogram; Entropy; Myocardial infarction

Indexed keywords

AUTOMATION; CARDIOLOGY; CHAOS THEORY; CHEMICAL DETECTION; CLASSIFIERS; COMPUTER AIDED ANALYSIS; DISCRETE WAVELET TRANSFORMS; ELECTROCARDIOGRAPHY; ENTROPY; FRACTAL DIMENSION; LYAPUNOV METHODS; NEAREST NEIGHBOR SEARCH; SIGNAL ANALYSIS; SIGNAL DETECTION; WAVELET DECOMPOSITION; WAVELET TRANSFORMS;

AUTOMATED DIAGNOSTICS; CLASSIFICATION PERFORMANCE; COMPUTER AIDED TECHNIQUE; K-NEAREST NEIGHBOR CLASSIFIERS (KNN); KOLMOGOROV COMPLEXITY; KOLMOGOROV-SINAI ENTROPY; LARGEST LYAPUNOV EXPONENT; MYOCARDIAL INFARCTION;

BIOMEDICAL SIGNAL PROCESSING;

EID: 84961249972     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2016.01.040     Document Type: Article

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