ArticleMethods and protocols2024
A Protocol for Comprehensive Analysis of Gait in Individuals with Incomplete Spinal Cord Injury.
Article in Methods and protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Gait pattern stratification in persons with incomplete spinal cord injury: a data-driven approach.Journal of neuroengineering and rehabilitation · 2026Article
- Adaptation of motor unit synergies in the synergetic ankle plantarflexors in ambulatory persons with incomplete spinal cord injury.Journal of neuroengineering and rehabilitation · 2026Article
- Neuromuscular adaptations in soleus and tibialis anterior muscles in persons with spinal cord injury.Journal of neuroengineering and rehabilitation · 2025Article
- Development of machine learning models for gait-based classification of incomplete spinal cord injuries and cauda equina syndrome.Scientific reports · 2025Article
- In vivo estimation of motor unit intrinsic properties in individuals with spinal cord injury.Journal of neuroengineering and rehabilitation · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
This is a protocol for comprehensive analysis of gait and affecting factors in individuals with incomplete paraplegia due to spinal cord injury (SCI). A SCI is a devastating event affecting both sensory and motor functions. Due to better care, the SCI population is changing, with a greater proportion retaining impaired ambulatory function. Optimizing ambulatory function after SCI remains challenging. To investigate factors influencing optimal ambulation, a multi-professional research project was grounded with expertise from clinical rehabilitation, neurophysiology, and biomechanical engineering from Karolinska Institutet, the Spinalis Unit at Aleris Rehab Station (Sweden's largest center for specialized neurorehabilitation), and the Promobilia MoveAbility Lab at KTH Royal Institute of Technology. Ambulatory adults with paraplegia will be consecutively invited to participate. Muscle strength, sensitivity, and spasticity will be assessed, and energy expenditure, 3D movements, and muscle function (EMG) during gait and submaximal contractions will be analyzed. Innovative computational modeling and data-driven analyses will be performed, including the identification of clusters of similar movement patterns among the heterogeneous population and analyses that study the link between complex sensorimotor function and movement performance. These results may help optimize ambulatory function for persons with SCI and decrease the risk of secondary conditions during gait with a life-long perspective.
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Registered trials
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