A novel electrocardiogram parameterization algorithm and its application in myocardial infarction detection

Computers in Biology and Medicine

Volumn 61, Issue , 2015, Pages 178-184

  Liu, Bin ^a   Liu, Jikui ^b   Wang, Guoqing ^c   Huang, Kun ^d   Li, Fan ^c   Zheng, Yang ^a   Luo, Youxi ^b,e   Zhou, Fengfeng ^b  

^a THE FIRST HOSPITAL OF JILIN UNIVERSITY   (China)

^b SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY   (China)

^c Jilin University   (China)

^d OHIO STATE UNIVERSITY   (United States)

^e HUBEI UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Bioinformatics; Electrocardiogram; Health informatics; Myocardial infarction; Polynomial fitting function; Prediction

Indexed keywords

BIOINFORMATICS; CARDIOLOGY; FORECASTING; FREQUENCY DOMAIN ANALYSIS; HEART; STATISTICAL TESTS;

AKAIKE INFORMATION CRITERION; CARDIAC FUNCTION ANALYSIS; DETECTION ALGORITHM; HEALTH INFORMATICS; MYOCARDIAL INFARCTION; ORDER POLYNOMIALS; POLYNOMIAL FITTING FUNCTIONS; ST-ELEVATION MYOCARDIAL INFARCTIONS;

ELECTROCARDIOGRAPHY;

ALGORITHM; ARTICLE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; ELECTROCARDIOGRAM; ELECTROCARDIOGRAPHY; HEART FUNCTION; HEART INFARCTION; HUMAN; MAJOR CLINICAL STUDY; PRIORITY JOURNAL; ST SEGMENT; ST SEGMENT ELEVATION MYOCARDIAL INFARCTION; MYOCARDIAL INFARCTION; PATHOPHYSIOLOGY; PROCEDURES;

ALGORITHMS; ELECTROCARDIOGRAPHY; HUMANS; MYOCARDIAL INFARCTION;

EID: 84948748198     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2014.08.010     Document Type: Article

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