Literature DB >> 22131378

Stiffness, not inertial coupling, determines path curvature of wrist motions.

Steven K Charles1, Neville Hogan.   

Abstract

When humans rotate their wrist in flexion-extension, radial-ulnar deviation, and combinations, the resulting paths (like the path of a laser pointer on a screen) exhibit a distinctive pattern of curvature. In this report we show that the passive stiffness of the wrist is sufficient to account for this pattern. Simulating the dynamics of wrist rotations using a demonstrably realistic model under a variety of conditions, we show that wrist stiffness can explain all characteristics of the observed pattern of curvature. We also provide evidence against other possible causes. We further demonstrate that the phenomenon is robust against variations in human wrist parameters (inertia, damping, and stiffness) and choice of model inputs. Our findings explain two previously observed phenomena: why faster wrist rotations exhibit more curvature and why path curvature rotates with pronation-supination of the forearm. Our results imply that, as in reaching, path straightness is a goal in the planning and control of wrist rotations. This requires humans to predict and compensate for wrist dynamics, but, unlike reaching, nonlinear inertial coupling (e.g., Coriolis acceleration) is insignificant. The dominant term to be compensated is wrist stiffness.

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Year:  2011        PMID: 22131378     DOI: 10.1152/jn.00428.2011

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  10 in total

1.  Incorporating the length-dependent passive-force generating muscle properties of the extrinsic finger muscles into a wrist and finger biomechanical musculoskeletal model.

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Journal:  J Biomech       Date:  2017-06-21       Impact factor: 2.712

2.  Proximal-distal differences in movement smoothness reflect differences in biomechanics.

Authors:  Layne H Salmond; Andrew D Davidson; Steven K Charles
Journal:  J Neurophysiol       Date:  2016-12-21       Impact factor: 2.714

3.  A computational model for optimal muscle activity considering muscle viscoelasticity in wrist movements.

Authors:  Hiroyuki Kambara; Duk Shin; Yasuharu Koike
Journal:  J Neurophysiol       Date:  2013-01-16       Impact factor: 2.714

4.  The effect of supination and pronation on wrist range of motion.

Authors:  Patrick M Kane; Bryan G Vopat; Christopher Got; Kaveh Mansuripur; Edward Akelman
Journal:  J Wrist Surg       Date:  2014-08

5.  Preferential encoding of movement amplitude and speed in the primary motor cortex and cerebellum.

Authors:  Alit Stark-Inbar; Eran Dayan
Journal:  Hum Brain Mapp       Date:  2017-09-08       Impact factor: 5.038

6.  Quantifying the Multidimensional Impedance of the Shoulder During Volitional Contractions.

Authors:  David B Lipps; Emma M Baillargeon; Daniel Ludvig; Eric J Perreault
Journal:  Ann Biomed Eng       Date:  2020-04-16       Impact factor: 3.934

7.  The effects of isometric hand grip force on wrist kinematics and forearm muscle activity during radial and ulnar wrist joint perturbations.

Authors:  Kailynn Mannella; Garrick N Forman; Maddalena Mugnosso; Jacopo Zenzeri; Michael W R Holmes
Journal:  PeerJ       Date:  2022-05-24       Impact factor: 3.061

8.  Fundamental Principles of Tremor Propagation in the Upper Limb.

Authors:  Andrew D Davidson; Steven K Charles
Journal:  Ann Biomed Eng       Date:  2016-12-12       Impact factor: 3.934

9.  Mechanical Impedance and Its Relations to Motor Control, Limb Dynamics, and Motion Biomechanics.

Authors:  Joseph Mizrahi
Journal:  J Med Biol Eng       Date:  2015-01-27       Impact factor: 1.553

10.  An Extended Passive Motion Paradigm for Human-Like Posture and Movement Planning in Redundant Manipulators.

Authors:  Paolo Tommasino; Domenico Campolo
Journal:  Front Neurorobot       Date:  2017-11-30       Impact factor: 2.650

  10 in total

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