Training multi-parameter gaits to reduce the knee adduction moment with data-driven models and haptic feedback

Journal of Biomechanics

Volumn 44, Issue 8, 2011, Pages 1605-1609

  Shull, Pete B ^a   Lurie, Kristen L ^a   Cutkosky, Mark R ^a   Besier, Thor F ^b  

^a Stanford University   (United States)

^b STANFORD UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

Gait retraining; Haptic; Knee adduction moment; Osteoarthritis; Real time feedback

Indexed keywords

GAIT RETRAINING; HAPTIC; KNEE ADDUCTION MOMENT; OSTEOARTHRITIS; REAL-TIME FEEDBACK;

HAPTIC INTERFACES; KINEMATICS; PROGRAM PROCESSORS;

PHYSIOLOGICAL MODELS;

ADULT; ARTICLE; BACK; BODY EQUILIBRIUM; CONTROLLED STUDY; DATA DRIVEN MODEL; DEVICE; ENDURANCE; EXPERIMENTAL STUDY; FEMALE; FOOT; GAIT; HUMAN; HUMAN EXPERIMENT; KINEMATICS; KNEE ADDUCTION MOMENT; KNEE OSTEOARTHRITIS; LOAD CARRYING CAPACITY; MALE; MATHEMATICAL MODEL; MEASUREMENT; MOTOR PERFORMANCE; NORMAL HUMAN; PHYSICAL PARAMETERS; PRIORITY JOURNAL; SENSATION; TACTILE FEEDBACK; TIBIA;

ADULT; BIOMECHANICS; EQUIPMENT DESIGN; FEMALE; GAIT; HUMANS; KNEE; KNEE JOINT; MALE; MODELS, ANATOMIC; OSTEOARTHRITIS, KNEE; RANGE OF MOTION, ARTICULAR; WALKING;

EID: 79955478463     PISSN: 00219290     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbiomech.2011.03.016     Document Type: Article

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