ArticleJournal of Korean medical science2021
Effects of Wearable Powered Exoskeletal Training on Functional Mobility, Physiological Health and Quality of Life in Non-ambulatory Spinal Cord Injury Patients.
Article in Journal of Korean medical science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04055610 (Effects of Gait Training for Individuals With Paraplegia Using H-MEX Exoskeleton), which is not on this map. Cited by 17 papers, 5 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Effects of Gait Training for Individuals With Paraplegia Using H-MEX Exoskeleton: A Pilot Study
Who cites it
17 citing papers in PubMed, 5 syntheses or guidelines pooled it, 24 citations in OpenAlex.
- Robotic-assisted gait training for spinal cord injury neuropathic pain: A systematic review.The journal of spinal cord medicine · 2026Pooled it
- A systematic review of the determinants of implementation of a locomotor training program using a powered exoskeleton for individuals with a spinal cord injury.Clinical rehabilitation · 2023Pooled it
- Combining robot-assisted therapy with virtual reality or using it alone? A systematic review on health-related quality of life in neurological patients.Health and quality of life outcomes · 2023Pooled it
- Wearable powered exoskeletons for gait training in tetraplegia: a systematic review on feasibility, safety and potential health benefits.Acta neurologica Belgica · 2022Pooled it
- Comparison of Efficacy of Lokomat and Wearable Exoskeleton-Assisted Gait Training in People With Spinal Cord Injury: A Systematic Review and Network Meta-Analysis.Frontiers in neurology · 2022Pooled it
- Clinical management of complications after chronic spinal cord injury: a review of recent advances.Annals of medicine · 2026Review
- Article
- Optimization of Exoskeleton Assistance Function Based on Physics-Guided Dynamic Fusion Model.Bioengineering (Basel, Switzerland) · 2026Article
- Modeling and validation of crutch-supported exoskeleton gait using a double-inverted pendulum approach.Journal of neuroengineering and rehabilitation · 2026Article
- Pharmacological and device-based interventions for paraplegia: A ClinicalTrials.gov-based analysis.Medicine · 2026Article
- Hip, knee, and ankle joint forces during exoskeletal-assisted walking: Comparison of approaches to simulate human-robot interactions.PloS one · 2025Article
- Article
- Bilateral tibial fractures associated with powered exoskeleton use in complete spinal cord injury - a case report & literature review.Spinal cord series and cases · 2024Review
- Effects of exoskeleton-assisted walking on bowel function in motor-complete spinal cord injury patients: involvement of the brain-gut axis, a pilot study.Frontiers in neuroscience · 2024Article
- Knowledge Gaps in Biophysical Changes After Powered Robotic Exoskeleton Walking by Individuals With Spinal Cord Injury-A Scoping Review.Frontiers in neurology · 2022Article
- Electrocardiographic Abnormalities in Patients With Spinal Cord Injury With Deranged Lipid Profile.Cureus · 2021Article
- Cardiorespiratory Responses to 10 Weeks of Exoskeleton-Assisted Overground Walking Training in Chronic Nonambulatory Patients with Spinal Cord Injury.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundSpinal cord injury (SCI) is a serious clinical condition that impacts a patient's physical, psychological, and socio-economic status. The aim of this pilot study was to evaluate the effects of training with a newly developed powered wearable exoskeleton (Hyundai Medical Exoskeleton [H-MEX]) on functional mobility, physiological health, and quality of life in non-ambulatory SCI patients.
methodsParticipants received 60 minutes of walking training with a powered exoskeleton 3 times per week for 10 weeks (total 30 sessions). The 6-minute walking test (6MWT) and timed-up-and-go test (TUGT) were performed to assess ambulatory function. The physiological outcomes of interest after exoskeleton-assisted walking training were spasticity, pulmonary function, bone mineral density, colon transit time, and serum inflammatory markers. Effects of walking training on subjective outcomes were estimated by the Korean version of the Falls Efficacy Scale-International and the 36-Item Short-Form Health Survey version 2.
resultsTen participants finished 30 sessions of training and could ambulate independently. No severe adverse events were reported during the study. After training, the mean distance walked in the 6MWT (49.13 m) was significantly enhanced compared with baseline (20.65 m). The results of the TUGT also indicated a statistically significant improvement in the times required to stand up, walk 3 m and sit down. Although not statistically significant, clinically meaningful changes in some secondary physiological outcomes and/or quality of life were reported in some participants.
conclusionIn conclusion, this study demonstrated that the newly developed wearable exoskeleton, H-MEX is safe and feasible for non-ambulatory SCI patients, and may have potential to improve quality of life of patients by assisting bipedal ambulation. These results suggest that the H-MEX can be considered a beneficial device for chronic non-ambulatory SCI patients.
trial registrationClinicalTrials.gov Identifier: NCT04055610.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.