Prediction of plantar shear stress distribution by artificial intelligence methods

Journal of Biomechanical Engineering

Volumn 131, Issue 9, 2009, Pages

  Yavuz, Metin ^a,b,c   Ocak, Hasan ^d   Hetherington, Vincent J ^a   Davis, Brian L ^c  

^a Ohio College of Podiatric Medicine   (United States)

^b Cleveland State University   (United States)

^c LERNER RESEARCH INSTITUTE   (United States)

^d KOCAELI UNIVERSITY   (Turkey)

Author keywords

Biomechanics; Diabetes; Fuzzy logic; Instrumentation; Neural networks; Plantar shear; Plantar stresses; Shear stress; System prediction

Indexed keywords

DIABETES; INSTRUMENTATION; PLANTAR SHEAR; PLANTAR STRESSES; SYSTEM PREDICTION;

ARTIFICIAL INTELLIGENCE; BIOMECHANICS; FORECASTING; FUZZY LOGIC; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; INSTRUMENTS; MEDICAL PROBLEMS; STRENGTH OF MATERIALS; STRESS CONCENTRATION;

SHEAR STRESS;

ACCURACY; ADOLESCENT; ADULT; AGED; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; BLISTER; CHILD; CONTROLLED STUDY; DEPENDENT VARIABLE; DIABETIC NEUROPATHY; FEMALE; FUZZY LOGIC; FUZZY SYSTEM; HALLUX VALGUS; HUMAN; MAJOR CLINICAL STUDY; MALE; NONLINEAR SYSTEM; POSITIVE FEEDBACK; PREDICTION; RHEUMATOID ARTHRITIS; SCHOOL CHILD; SHEAR STRESS; BIOLOGICAL MODEL; COMPUTER SIMULATION; DIABETIC FOOT; FOOT; GAIT; PATHOPHYSIOLOGY; SHEAR STRENGTH; WALKING;

VALGUS;

ARTIFICIAL INTELLIGENCE; BLISTER; COMPUTER SIMULATION; DIABETIC FOOT; FOOT; GAIT; HUMANS; MODELS, BIOLOGICAL; SHEAR STRENGTH; WALKING;

EID: 77956334700     PISSN: 01480731     EISSN: 15288951     Source Type: Journal    
DOI: 10.1115/1.3130453     Document Type: Article

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