Discrimination of myocardial infarction stages by subjective feature extraction

Computer Methods and Programs in Biomedicine

Volumn 95, Issue 3, 2009, Pages 270-279

  Ge, Dingfei ^a   Sun, Lihui ^a   Zhou, Jiayin ^b   Shao, Yuquan ^c  

^a ZHEJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^c ZHEJIANG UNIVERSITY   (China)

Author keywords

ECG; Feature extraction; Hyper dimensional time series; Myocardial infarction; Subjective classification

Indexed keywords

CLASSIFICATION ,; COMPUTER ASSISTED DIAGNOSIS; DATA NORMALIZATION; DIAGNOSTIC ECG; ECG; ECG SIGNALS; FEATURE EXTRACTION METHODS; FEATURE EXTRACTION TECHNIQUES; GLOBAL INFORMATIONS; HYPER-DIMENSIONAL TIME-SERIES; LOCAL INFORMATION; MYOCARDIAL INFARCTION; SUBJECTIVE-CLASSIFICATION; TIME-SERIES DATA; WHITENING TRANSFORMATION;

DATA REDUCTION; ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES; METAL RECOVERY; PRINCIPAL COMPONENT ANALYSIS;

FEATURE EXTRACTION;

ARTICLE; COMPUTER ASSISTED DIAGNOSIS; DATA ANALYSIS; DATA EXTRACTION; DISCRIMINATION LEARNING; DISEASE SEVERITY; ELECTROCARDIOGRAM; HEART INFARCTION; HUMAN; INFORMATION PROCESSING; PRINCIPAL COMPONENT ANALYSIS; Q WAVE; ST SEGMENT ELEVATION; T WAVE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROCARDIOGRAPHY; HUMANS; MYOCARDIAL INFARCTION; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SOFTWARE;

EID: 67649403147     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2009.03.008     Document Type: Article

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