An efficient probabilistic methodology for incorporating uncertainty in body segment parameters and anatomical landmarks in joint loadings estimated from inverse dynamics

Journal of Biomechanical Engineering

Volumn 130, Issue 1, 2008, Pages

  Langenderfer, Joseph E ^a   Laz, Peter J ^a   Petrella, Anthony J ^b   Rullkoetter, Paul J ^a  

^a University of Denver   (United States)

^b JOHNSON AND JOHNSON   (United States)

Author keywords

Anatomical landmarks; Body segment parameters; Inverse dynamics; Joint kinetics; Joint loading

Indexed keywords

BENCHMARKING; DYNAMICS; FORECASTING; INVERSE PROBLEMS; JOINTS (ANATOMY); KINEMATICS; LARGE SCALE SYSTEMS; LOADING; LOADS (FORCES); PROBABILITY; SENSITIVITY ANALYSIS; STANDARDS; THREE DIMENSIONAL; UNCERTAINTY ANALYSIS;

ANATOMICAL LANDMARKS; BENCHMARK DATA; BODY SEGMENT PARAMETERS; CLINICAL ASSESSMENTS; COEFFICIENTS OF VARIATION (COVS); DYNAMICS ANALYSIS; DYNAMICS MODELING; IMPLANT DESIGN; INVERSE DYNAMICS; JOINT FORCES; JOINT LOADING; LOWER EXTREMITY; MEAN VALUE (MV); PROBABILISTIC ANALYSES; PROBABILISTIC METHODOLOGY; PROBABILISTIC METHODS; PROBABILISTIC MODEL (PM); REACTION DATA; RELATIVE IMPORTANCE; SENSITIVITY FACTORS; STANCE PHASE; STANDARD DEVIATION (STD); THREE DIMENSIONAL (3D);

PARAMETER ESTIMATION;

ANATOMICAL VARIATION; ANKLE; ANTHROPOMETRIC PARAMETERS; ARTICLE; BIOMECHANICS; BODY MASS; BODY REGIONS; CLINICAL ASSESSMENT; DYNAMICS; GAIT; GROUND REACTION FORCE; HIP; JOINT FUNCTION; JOINT PRESSURE; KINEMATICS; KNEE; MATHEMATICAL MODEL; SENSITIVITY ANALYSIS; SIMULATION; ALGORITHM; BIOLOGICAL MODEL; COMPUTER SIMULATION; ELASTICITY; EVALUATION; HISTOLOGY; HUMAN; JOINT; LEG; MECHANICAL STRESS; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; WEIGHT BEARING;

ALGORITHMS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; ELASTICITY; HUMANS; JOINTS; LEG; MODELS, BIOLOGICAL; MODELS, STATISTICAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; STRESS, MECHANICAL; WEIGHT-BEARING;

EID: 47149108889     PISSN: 01480731     EISSN: None     Source Type: Journal    
DOI: 10.1115/1.2838037     Document Type: Article

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