Automatic recognition of falls in gait-slip training: Harness load cell based criteria

Journal of Biomechanics

Volumn 44, Issue 12, 2011, Pages 2243-2249

  Yang, Feng ^a   Pai, Yi Chung ^a  

^a UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

Author keywords

Automation; Balance loss; Harness assistance; Outcome recognition; Perturbation training

Indexed keywords

AUTOMATIC RECOGNITION; BALANCE LOSS; BODY WEIGHT; GOLD STANDARDS; GROUND REACTION FORCES; HARNESS ASSISTANCE; LOAD CELLS; LOGISTIC REGRESSION ANALYSIS; MOTION CAPTURE SYSTEM; MOVEMENT THERAPY; MOVING AVERAGES; OLDER ADULTS; OUTCOME ASSESSMENT; OUTCOME RECOGNITION; PEAK LOAD; PERTURBATION TRAINING; RECOGNITION CRITERION; SAFETY HARNESS; VISUAL INSPECTION;

ANTHROPOMETRY; RECOVERY; REGRESSION ANALYSIS; VIDEO RECORDING;

LOADS (FORCES);

ACCURACY; ADULT; AGED; ARTICLE; AUTOMATED PATTERN RECOGNITION; BALANCE IMPAIRMENT; BIOMECHANICS; CONTROLLED STUDY; FALL RISK ASSESSMENT; FALLING; GAIT; GROUND REACTION FORCE; HUMAN; HUMAN EXPERIMENT; LOAD CELL FORCE; LOAD CELL SENSOR; MOTION ANALYSIS SYSTEM; MOVEMENT THERAPY; NORMAL HUMAN; OVERHEAD HARNESS; PERTUBATION TRAINING; PHYSICAL PARAMETERS; PREDICTIVE VALUE; PRIORITY JOURNAL; PROTECTIVE EQUIPMENT; SENSOR; VIDEORECORDING;

ACCIDENTAL FALLS; ADULT; AGE FACTORS; AGED; AGED, 80 AND OVER; AGING; AUTOMATION; BODY WEIGHT; EQUIPMENT DESIGN; GAIT; HUMANS; POSTURAL BALANCE; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; STRESS, MECHANICAL; VIDEO RECORDING; WALKING;

EID: 79960716242     PISSN: 00219290     EISSN: 18732380     Source Type: Journal    
DOI: 10.1016/j.jbiomech.2011.05.039     Document Type: Article

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