Abstract
Biomechanical properties, including elasticity, viscosity, and inertia, determine the forces necessary to produce movements. Understanding motor control strategies used by small animals requires knowledge of these properties and their relative importance in motor control. This study established a technique to dynamically perturb the rat hindlimb to determine hindlimb mechanics across a range of configurations. We used a linear motor with high acceleration and precise position servo control to implement fast transient perturbations. A force/torque transducer was mounted on the motor to record force and torque responses from six degrees of freedom during perturbation. A two-camera motion capture system was set up to reconstruct the 3D hindlimb kinematics. A deeply anesthetized animal was placed on a platform, and the hind paw was attached to the transducer. The limb was translated by the motor through a pseudorandom binary sequence of rapid movements with small displacements (2mm). We then fit a second-order linear model to parameterize the elasticity, viscosity, inertia, and background forces of the perturbed system. We obtained mechanical parameters from 197 hindlimb configurations in 3 rats measured across their workspace. The linear model captured R2 = 0.93 ± 0.02, 0.95 ± 0.01, and 0.93 ± 0.02 of the dynamic responses from three rats. Parameter values were consistent across repeated trials, demonstrating the reliability of the estimation process. Similarly, analysis of joint kinematics also showed minimal kinematic redundancy of limb joint angles across repeated perturbations. These preliminary results show that this dynamic perturbation platform can reliably characterize the mechanical properties of rat hindlimbs. The hindlimb characteristics measured with these procedures will be critical to understanding the control strategies during locomotion and other behaviors.
Original language | English (US) |
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Title of host publication | Biomimetic and Biohybrid Systems - 13th International Conference, Living Machines 2024, Proceedings |
Editors | Nicholas S. Szczecinski, Victoria Webster-Wood, Matthew Tresch, William R. P. Nourse, Roger D. Quinn, Anna Mura |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 452-459 |
Number of pages | 8 |
ISBN (Print) | 9783031725968 |
DOIs | |
State | Published - 2025 |
Event | 13th International Conference on Biomimetic and Biohybrid Systems, Living Machines 2024 - Chicago, United States Duration: Jul 8 2024 → Jul 11 2024 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 14930 LNAI |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 13th International Conference on Biomimetic and Biohybrid Systems, Living Machines 2024 |
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Country/Territory | United States |
City | Chicago |
Period | 7/8/24 → 7/11/24 |
Funding
We want to acknowledge the generous funding from NSF 2015317 NeuroNex: Communication, Coordination, and Control in Neuromechanical Systems (C3NS) project.
Keywords
- Limb Configuration
- Limb Mechanics
- Locomotion
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science