Title :
Identification of human joint mechanical properties from single trial data
Author :
Xu, Yangming ; Hollerbach, John M.
Author_Institution :
Sarcos Res. Corp., Salt Lake City, UT, USA
Abstract :
A method is presented for estimating the time-varying compliance parameters of the elbow joint from a single movement. The method separates by frequency the perturbed from the voluntary response, then determines the parameters by exponentially weighted least squares. The tracking performance of the method is established by simulation and by a calibrated mechanical joint. Experimental results are presented on time-varying posture and slow movement.
Keywords :
biomechanics; elasticity; mechanical variables measurement; medical signal processing; elbow joint; exponentially weighted least squares; human joint mechanical properties identification; single trial data; slow movement; time-varying compliance parameters; time-varying posture; Biomedical measurements; Cities and towns; Elbow; Frequency; Humans; Least squares methods; Mechanical factors; Motion measurement; Nonlinear dynamical systems; System identification; Adult; Biomechanics; Calibration; Compliance; Elbow Joint; Female; Humans; Linear Models; Male; Models, Biological; Movement; Nonlinear Dynamics; Posture; Reference Values;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
