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  4. Using Person-Specific Muscle Fatigue Characteristics to Optimally Allocate Control in a Hybrid Exoskeleton – Preliminary Results

Using Person-Specific Muscle Fatigue Characteristics to Optimally Allocate Control in a Hybrid Exoskeleton – Preliminary Results

IEEE Trans Med Robot Bionics, 2020 · DOI: 10.1109/TMRB.2020.2977416 · Published: May 1, 2020

Assistive TechnologyNeurology

Simple Explanation

This paper introduces a new way to control hybrid exoskeletons, which combine functional electrical stimulation (FES) and powered assistance to help people with spinal cord injuries (SCI) stand up. The control system is designed to optimally distribute the workload between FES and the exoskeleton's motors, taking into account muscle fatigue. The control system uses a hierarchical approach. A high-level controller ensures the user follows the desired standing-up motion, while a low-level controller optimally allocates the knee torque between FES and the electric motor, considering muscle fatigue dynamics. Experiments were conducted on participants with and without disabilities to validate the control system. The results showed the hierarchical control design is a promising method to effect shared control in a hybrid exoskeleton.

Study Duration
Not specified
Participants
Two persons without disability and one person with spinal cord injury (SCI)
Evidence Level
Level Not specified, Human Subject Experiment

Key Findings

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    The proposed hierarchical control design is a promising method to effect shared control in a hybrid exoskeleton.
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    The hybrid device consumes less motor energy than the purely powered exoskeleton.
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    By using a predicted fatigue level, the controller can personalize the dynamic modulation of FES in a hybrid exoskeleton during the standing-up motion.

Research Summary

The paper proposes a control scheme that can optimally allocate FES and the knee electric motors of the exoskeleton during the standing-up motion. A higher-level robust feedback controller is derived to provide stabilizing total torques for both knee and hip joints. The controller tracks a desired standing-up motion that is governed by a virtual constraint. Experimental results validate the control performance and control allocation on participants without disabilities. The controller also enabled a participant with SCI to perform STS using the hybrid exoskeleton.

Practical Implications

Enhanced Rehabilitation

The hybrid exoskeleton system can potentially improve rehabilitation outcomes for individuals with SCI by providing personalized and dynamically adjusted assistance during standing-up movements.

Reduced Muscle Fatigue

By optimally allocating control between FES and electric motors based on muscle fatigue dynamics, the system can help delay the onset of muscle fatigue and maximize active muscle exercise.

Energy Efficiency

The hybrid system has the potential to reduce power consumption compared to purely powered exoskeletons, which could extend battery life and improve the practicality of these devices.

Study Limitations

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