Perturbation-based measurement of real and imaginary parts of human arm's mechanical impedance

Mechanical impedance is a complex number and a system's property. Impedance of human arm is the control variable when the central nervous system coordinates a motion. This research proposes a new method for measuring the mechanical impedance as a complex number. Impedance is measured at the hand point while sinusoidal perturbation is applied. That helps extracting the real and imaginary part of the impedance. Simulations reveal how spring, mass, and damper contribute to the mechanical impedance. Despite the simulation results, our experiment shows that damping which is the real part of impedance is not frequency independent and imaginary part of mechanical impedance decreased with increasing frequency that in turn suggests the stiffness is increasing.

[1]  Rieko Osu,et al.  The central nervous system stabilizes unstable dynamics by learning optimal impedance , 2001, Nature.

[2]  Daniel M. Wolpert,et al.  Making smooth moves , 2022 .

[3]  Hossein Mousavi Hondori,et al.  A method for measuring human arm's mechanical impedance for assessment of motor rehabilitation , 2009 .

[4]  J. Cooke,et al.  Amplitude‐ and instruction‐dependent modulation of movement‐related electromyogram activity in humans. , 1981, The Journal of physiology.

[5]  L. Stark,et al.  Roles of the elements of the triphasic control signal , 1985, Experimental Neurology.

[6]  L. Selen,et al.  Impedance Control Reduces Instability That Arises from Motor Noise , 2009, The Journal of Neuroscience.

[7]  J. Cooke,et al.  Movement-related phasic muscle activation. I. Relations with temporal profile of movement. , 1990, Journal of neurophysiology.

[8]  J. Cooke,et al.  Movement-related phasic muscle activation , 2004, Experimental Brain Research.

[9]  W. Rymer,et al.  Muscle stiffness during transient and continuous movements of cat muscle: perturbation characteristics and physiological relevance , 1994, IEEE Transactions on Biomedical Engineering.

[10]  A. Fugl-Meyer,et al.  The post-stroke hemiplegic patient. 1. a method for evaluation of physical performance. , 1975, Scandinavian journal of rehabilitation medicine.

[11]  J.J. Palazzolo,et al.  Stochastic Estimation of Arm Mechanical Impedance During Robotic Stroke Rehabilitation , 2007, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[12]  Yong-Lin Kuo,et al.  Motion conditions justification of an omni-directional mobile platform by electro-mechanical transduction matrix , 2009 .

[13]  D. Ostry,et al.  Muscle cocontraction following dynamics learning , 2008, Experimental Brain Research.

[14]  E. Bizzi,et al.  Neural, mechanical, and geometric factors subserving arm posture in humans , 1985, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[15]  J C Rothwell,et al.  Manual motor performance in a deafferented man. , 1982, Brain : a journal of neurology.

[16]  W G Darling,et al.  Movement related EMGs become more variable during learning of fast accurate movements. , 1987, Journal of motor behavior.

[17]  N. Hogan Adaptive control of mechanical impedance by coactivation of antagonist muscles , 1984 .

[18]  M. Hallett,et al.  EMG analysis of stereotyped voluntary movements in man. , 1975, Journal of neurology, neurosurgery, and psychiatry.

[19]  Hossein Mousavi Hondori,et al.  A Novel Device for Measuring Mechanical Impedance during Dynamic Tasks , 2010, BIODEVICES.