ArticleJournal of neuroengineering and rehabilitation2013
Effects of robotic guidance on the coordination of locomotion.
Article in Journal of neuroengineering and rehabilitation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.
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Who cites it
34 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Wearable Ankle Robots in Post-stroke Rehabilitation of Gait: A Systematic Review.Frontiers in neurorobotics · 2019Pooled it
- Can Lokomat therapy with children and adolescents be improved? An adaptive clinical pilot trial comparing Guidance force, Path control, and FreeD.Journal of neuroengineering and rehabilitation · 2017Trial
- The role of virtual reality in improving motor performance as revealed by EEG: a randomized clinical trial.Journal of neuroengineering and rehabilitation · 2017Trial
- Multimodal closed-loop strategies for gait recovery after spinal cord injury and stroke via the integration of robotics and neuromodulation.Frontiers in neuroscience · 2025Review
- Evaluation of EMG patterns in children during assisted walking in the exoskeleton.Frontiers in neuroscience · 2024Article
- Re-defining wearable robots: a multidisciplinary approach towards a unified terminology.Journal of neuroengineering and rehabilitation · 2023Article
- Muscle synergies for evaluating upper limb in clinical applications: A systematic review.Heliyon · 2023Review
- Benchmarking the Effects on Human-Exoskeleton Interaction of Trajectory, Admittance and EMG-Triggered Exoskeleton Movement Control.Sensors (Basel, Switzerland) · 2023Article
- Exoskeleton gait training with spinal cord neuromodulation.Frontiers in human neuroscience · 2023Review
- Mechanical disturbances applied by motorized ankle foot orthosis to adapt ankle muscles activation-A validation study.Frontiers in bioengineering and biotechnology · 2023Article
- Article
- Effects of asymmetrical support on lower limb muscle activity during Lokomat guided gait in persons with a chronic stroke: an explorative study.European journal of physical and rehabilitation medicine · 2022Article
- Evaluation of Spatiotemporal Patterns of the Spinal Muscle Coordination Output during Walking in the Exoskeleton.Sensors (Basel, Switzerland) · 2022Article
- The effects of robotic assistance on upper limb spatial muscle synergies in healthy people during planar upper-limb training.PloS one · 2022Article
- Effects of body weight support and guidance force settings on muscle synergy during Lokomat walking.European journal of applied physiology · 2021Article
- Primitive muscle synergies reflect different modes of coordination in upper limb motions.Medical & biological engineering & computing · 2021Article
- Article
- A Novel sEMG-Based Gait Phase-Kinematics-Coupled Predictor and Its Interaction With Exoskeletons.Frontiers in neurorobotics · 2021Article
- Effects of bodyweight support and guidance force on muscle activation during Locomat walking in people with stroke: a cross-sectional study.Journal of neuroengineering and rehabilitation · 2020Article
- Haptic Adaptive Feedback to Promote Motor Learning With a Robotic Ankle Exoskeleton Integrated With a Video Game.Frontiers in bioengineering and biotechnology · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFunctional integration of motor activity patterns enables the production of coordinated movements, such as walking. The activation of muscles by weightened summation of activation signals has been demonstrated to represent the spatiotemporal components that determine motor behavior during walking. Exoskeleton robotic devices are now often used in the rehabilitation practice to assist physical therapy of individuals with neurological disorders. These devices are used to promote motor recovery by providing guidance force to the patients. The guidance should in principle lead to a muscle coordination similar to physiological human walking. However, the influence of robotic devices on locomotor patterns needs still to be characterized. The aim of this study was to analyze the effect of force guidance and gait speed on the modular organization of walking in a group of eight healthy subjects.
methodA group of healthy subjects walked on a treadmill with and without robotic aiding at speeds of 1.5, 2.0 and 2.5 Km/h. The guidance force was varied between 20%, 40%, 70% and 100% level of assistance. EMG recordings were obtained from seven leg muscles of the dominant leg and kinematic and kinetic features of the knee and hip joints were extracted.
resultsFour motor modules were sufficient to represent the variety of behavioral goals demanded during robotic guidance, with similar relationships between muscle patterns and biomechanical parameters across subjects, confirming that the low-dimensional and impulsive control of human walking is maintained using robotic force guidance. The conditions of guidance force and speed that maintained correct and incorrect (not natural) modular control were identified.
conclusionIn neurologically intact subjects robotic-guided walking at various force guidance and speed levels does not alter the basic locomotor control and timing. This allows the design of robotic-aided rehabilitation strategies aimed at the modulation of motor modules, which are altered in stroke.
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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.