A novel method of artery stenosis diagnosis using transfer function and support vector machine based on transmission line model: A numerical simulation and validation study

Computer Methods and Programs in Biomedicine

Volumn 129, Issue , 2016, Pages 71-81

  Xiao, Hanguang ^a   Avolio, Alberto ^b   Huang, Decai ^c  

^a CHONGQING UNIVERSITY OF TECHNOLOGY   (China)

^b MACQUARIE UNIVERSITY   (Australia)

^c Mianyang 404 Hospital   (China)

Author keywords

Arterial tree; Artery stenosis; Stenosis prediction; Support vector machine; Transfer function; Transmission line model

Indexed keywords

BLOOD VESSELS; ELECTRIC LINES; ELECTROMAGNETIC WAVE EMISSION; FORESTRY; NUMERICAL METHODS; SUPPORT VECTOR MACHINES; TRANSFER FUNCTIONS; TRANSMISSION LINE THEORY;

ARTERIAL STENOSIS; ARTERIAL TREE; ARTERY STENOSIS; DIAGNOSIS MODEL; NONLINEAR CHARACTERISTICS; SIMULATION AND VALIDATION; STENOSIS DEGREES; TRANSMISSION LINE MODELING;

INVERSE PROBLEMS;

ARTERIAL WALL THICKNESS; ARTERY OCCLUSION; ARTICLE; ASCENDING AORTA; CAROTID ARTERY; DIAGNOSTIC ACCURACY; FEASIBILITY STUDY; HEMODYNAMICS; HUMAN; ILIAC ARTERY; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; SIMULATION; SUPPORT VECTOR MACHINE; TRANSFER FUNCTION; TRANSMISSION LINE MODEL; VALIDATION STUDY; VISCOELASTICITY; YOUNG MODULUS; ARTERY; CONSTRICTION, PATHOLOGIC; PATHOLOGY; STATISTICAL MODEL; VASCULAR DISEASES;

ARTERIES; CONSTRICTION, PATHOLOGIC; HUMANS; MODELS, STATISTICAL; SUPPORT VECTOR MACHINE; VASCULAR DISEASES;

EID: 84961838036     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2016.03.005     Document Type: Article

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