Automated risk identification of myocardial infarction using relative frequency band coefficient (RFBC) features from ECG

Open Biomedical Engineering Journal

Volumn 4, Issue SPEC. ISSUE 2, 2010, Pages 217-222

  Bakul, Gohel ^a   Tiwary, U S ^a  

^a INDIAN INSTITUTE OF INFORMATION TECHNOLOGY   (India)

Author keywords

Cardiac vector; Coronary artery disease; Electrocardiogram (ECG); Myocardial infarction (MI); Support vector machine (SVM)

Indexed keywords

CARDIAC VECTOR; CORONARY ARTERY DISEASE; ELECTROCARDIOGRAM (ECG); MYOCARDIAL INFARCTION; SUPPORT VECTOR MACHINE (SVM);

ARTIFICIAL INTELLIGENCE; BIOCHEMISTRY; DECISION SUPPORT SYSTEMS; DECISION THEORY; DISEASES; ELECTROCARDIOGRAPHY; FREQUENCY BANDS; HEART; SPECTROSCOPY; SUPPORT VECTOR MACHINES; VECTORS;

ELECTROCHROMIC DEVICES;

AMPLITUDE MODULATION; ARTICLE; AUTOMATION; BODY COMPOSITION; BODY MASS; CLASSIFICATION; CONTROLLED STUDY; DATA BASE; DECISION SUPPORT SYSTEM; ELECTROCARDIOGRAM; HEART INFARCTION; HUMAN; MAJOR CLINICAL STUDY; PRIORITY JOURNAL; RISK ASSESSMENT; SCREENING; SUPPORT VECTOR MACHINE;

EID: 78249278820     PISSN: None     EISSN: 18741207     Source Type: Journal    
DOI: 10.2174/1874120701004010217     Document Type: Article

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