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Updated: Mar 3, 2026

Training Persons with Spinal Cord Injury to Ambulate Using a Powered Exoskeleton
Published on: June 16, 2016
Neuromechanical adaptations during a robotic powered exoskeleton assisted walking session
Arvind Ramanujam1, Christopher M Cirnigliaro2, Erica Garbarini1
1a Kessler Foundation , Human Performance and Engineering Research , West Orange , New Jersey , USA.
This study examined exoskeleton-assisted walking in able-bodied and spinal cord injury individuals. Exoskeletons reduced walking speed in able-bodied participants but showed neuromuscular adaptations in both groups.
Area of Science:
- Biomechanics and Neuroscience
- Rehabilitation Engineering
Background:
- Exoskeleton technology offers potential for gait assistance in various populations.
- Understanding the biomechanical and neuromuscular effects of exoskeleton use is crucial for optimizing assistive strategies.
Purpose of the Study:
- To evaluate gait parameters and neuromuscular profiles during exoskeleton-assisted walking.
- To compare able-bodied (AB) individuals with and without exoskeleton assistance.
- To assess non-ambulatory spinal cord injury (SCI) individuals using a powered exoskeleton.
Main Methods:
- A single-session study involving four AB and four SCI individuals.
- Utilized a powered lower extremity exoskeleton.
- Collected temporal-spatial parameters, kinematics, walking velocity, and electromyography (EMG) data.
Main Results:
- Able-bodied individuals exhibited increased stance time and reduced walking velocity with the exoskeleton.
- Voluntary assistance by AB individuals improved walking velocity and reduced stance time.
- SCI individuals demonstrated higher stance time, lower walking velocity, and muscle activation in lower limb muscles.
Conclusions:
- Exoskeleton use in AB individuals led to reduced walking velocity and muscle activation, with voluntary control enhancing temporal-spatial responses.
- Both AB and SCI groups showed neuromuscular phasic adaptations with exoskeleton use, differing from non-exoskeleton gait patterns.
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