Determining flexor-tendon repair techniques via soft computing

IEEE Engineering in Medicine and Biology Magazine

Volumn 20, Issue 6, 2001, Pages 176-183

  Johnson, Mark ^a   Firoozbakhsh, Keikhosrow ^b   Moniem, Moheb ^b   Jamshidi, Mohammad ^a  

^a University of New Mexico   (United States)

^b UNIVERSITY OF NEW MEXICO HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FLEXURE-TENDON REPAIR;

CLINICAL LABORATORIES; COMPUTATIONAL METHODS; DECISION MAKING; FUZZY SETS; PATIENT TREATMENT; REPAIR; TENDONS;

BIOMEDICAL ENGINEERING;

ARTICLE; ARTIFICIAL NEURAL NETWORK; FLEXOR TENDON INJURY; HUMAN; MEDICAL DECISION MAKING; MODEL; RIGIDITY; SOFT COMPUTING; SURGICAL TECHNIQUE; SUTURING METHOD; TENDON RECONSTRUCTION; TENSILE STRENGTH; TOTAL QUALITY MANAGEMENT;

CADAVER; ELASTICITY; EQUIPMENT DESIGN; EQUIPMENT FAILURE; FINGERS; FUZZY LOGIC; HUMANS; SENSITIVITY AND SPECIFICITY; STRESS, MECHANICAL; SUTURE TECHNIQUES; SUTURES; TENDONS; TENSILE STRENGTH; THERAPY, COMPUTER-ASSISTED;

EID: 0035698409     PISSN: 07395175     EISSN: None     Source Type: Journal    
DOI: 10.1109/51.982290     Document Type: Article

References (8)

1. Use of Taguchi method for biomechanical comparison of flexor-tendon-repair techniques to allow immediate active flexion
2. Fuzzy sets
3. A new methodology for ordinal multiobjective decisions based on fuzzy sets
4. Window shopping via fuzzy logic