The use of surface strain data and a neural networks solution method to determine lumbar facet joint loads during in vitro spine testing

Journal of Biomechanics

Volumn 41, Issue 12, 2008, Pages 2647-2653

  Sawa, Anna G U ^a   Crawford, Neil R ^a  

^a BARROW NEUROLOGICAL INSTITUTE   (United States)

Author keywords

Computational model; Facet load; Lumbar spine; Neural network; Surface strain

Indexed keywords

ARGON; ARTIFICIAL INTELLIGENCE; GAGES; IMPLANTS (SURGICAL); NEURAL NETWORKS; STANDARDS; STATISTICAL TESTS; STIFFNESS; STRAIN GAGES; SURFACE TESTING; TESTING; THICK FILMS; THICKNESS MEASUREMENT;

AXIAL ROTATION; COMPUTATIONAL MODEL; DATA COLLECTIONS; FACET JOINTS; FACET LOAD; FLEXIBILITY TESTING; GRAPHICAL SOLUTION; IN-VITRO; LATERAL BENDING; LOAD TRANSMISSION; LUMBAR FACET; LUMBAR SPINE; LUMBAR SPINES; NEURAL NETWORK; PRESSURE-SENSITIVE; RIGHT AND LEFT; SOLUTION METHODS; SPINE LOADING; STANDARD DEVIATION; STIFFNESS TESTING; SURFACE STRAIN; SURFACE STRAINING; SURGICAL TECHNIQUES; THIN-FILM SENSORS;

LOAD TESTING;

ADULT; AGED; ARTICLE; COMPUTER MODEL; FILM; FLEXOR REFLEX; HUMAN; HUMAN TISSUE; LUMBAR SPINE; NERVE CELL NETWORK; PRIORITY JOURNAL; RIGIDITY;

ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; COMPUTER SIMULATION; ELASTIC MODULUS; FEMALE; HUMANS; LUMBAR VERTEBRAE; MALE; MIDDLE AGED; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER); STRESS, MECHANICAL; SURFACE PROPERTIES; WEIGHT-BEARING; ZYGAPOPHYSEAL JOINT;

EID: 49649099181     PISSN: 00219290     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbiomech.2008.06.010     Document Type: Article

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