Pattern detection of atherosclerosis from carotid artery doppler signals using fuzzy weighted pre-processing and Least Square Support Vector Machine (LSSVM)

Annals of Biomedical Engineering

Volumn 35, Issue 5, 2007, Pages 724-732

  Polat, Kemal ^a   Kara, Sadik ^b   Latifoǧlu, Fatma ^b   Güneş, Salih ^a  

^a SELCUK UNIVERSITY   (Turkey)

^b ERCIYES UNIVERSITY   (Turkey)

Author keywords

AR; Atherosclerosis; Carotid artery; Fuzzy weighting pre processing; LSSVM

Indexed keywords

BIOMEDICAL ENGINEERING; COMPUTER SIMULATION; FUZZY SETS; LEAST SQUARES APPROXIMATIONS; PATTERN RECOGNITION; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINES;

AUTOREGRESSIVE (AR) MODELING; CAROTID ARTERY DOPPLER SIGNALS; LEAST SQUARE SUPPORT VECTOR MACHINE (LSSVM);

DISEASES;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; CAROTID ARTERY DISEASE; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; DOPPLER FLOWMETRY; ECHOGRAPHY; EVALUATION; EXPERT SYSTEM; FUZZY LOGIC; METHODOLOGY; REGRESSION ANALYSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; CAROTID ARTERY DISEASES; EXPERT SYSTEMS; FUZZY LOGIC; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LEAST-SQUARES ANALYSIS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; ULTRASONOGRAPHY, DOPPLER;

EID: 34247278767     PISSN: 00906964     EISSN: 15739686     Source Type: Journal    
DOI: 10.1007/s10439-007-9289-7     Document Type: Article

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