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Experimental Methods to Study Human Postural Control
Published on: September 11, 2019
Invariant ankle moment patterns when walking with and without a robotic ankle exoskeleton
Pei-Chun Kao1, Cara L Lewis, Daniel P Ferris
1School of Kinesiology, University of Michigan, Ann Arbor, MI 48109-2214, USA. kaop@udel.edu
Journal of Biomechanics
|November 3, 2009
Summary
Humans adapt to robotic exoskeletons by adjusting joint moments, not kinematics. Greater robotic assistance requires longer adaptation periods for users to achieve steady-state walking patterns.
Area of Science:
- Biomechanics
- Robotics
- Human Motor Control
Background:
- Understanding human adaptation to powered exoskeletons is crucial for developing effective lower limb robotic devices.
- Robotic exoskeletons offer assistance but require users to adapt their motor control strategies.
Purpose of the Study:
- To quantify joint moments during adaptation to a powered ankle exoskeleton in healthy individuals.
- To investigate whether the duration of motor adaptation depends on the level of robotic assistance provided.
Main Methods:
- Eleven healthy subjects walked on a split-belt treadmill with a pneumatically powered ankle exoskeleton controlled by soleus electromyography (EMG).
- Subjects underwent two 30-minute walking sessions to adapt to the exoskeleton's plantar flexor torque assistance.
Main Results:
- Subjects significantly reduced soleus EMG by ~36% and achieved ankle joint moment patterns similar to unassisted gait.
- Ankle kinematic patterns during exoskeleton use differed significantly from unassisted gait.
- Adaptation to higher levels of robotic assistance took longer, with some subjects not reaching a steady-state gait pattern within the study period.
Conclusions:
- Humans prioritize replicating joint moment patterns over kinematic patterns when adapting to powered ankle exoskeletons.
- The magnitude of robotic assistance directly influences the time course of motor adaptation during exoskeleton use.

