Trial reportJournal of neuroengineering and rehabilitation2012
Motor modules in robot-aided walking.
Trial report in Journal of neuroengineering and rehabilitation, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Occurrence and Type of Adverse Events During the Use of Stationary Gait Robots-A Systematic Literature Review.Frontiers in robotics and AI · 2020Pooled it
- Influences of the biofeedback content on robotic post-stroke gait rehabilitation: electromyographic vs joint torque biofeedback.Journal of neuroengineering and rehabilitation · 2019Trial
- Effect of Robotic-Assisted Gait at Different Levels of Guidance and Body Weight Support on Lower Limb Joint Kinematics and Coordination.Sensors (Basel, Switzerland) · 2023Article
- Effects of body weight support and guidance force settings on muscle synergy during Lokomat walking.European journal of applied physiology · 2021Article
- Article
- Increased gait variability during robot-assisted walking is accompanied by increased sensorimotor brain activity in healthy people.Journal of neuroengineering and rehabilitation · 2019Article
- Modular motor control of the sound limb in gait of people with trans-femoral amputation.Journal of neuroengineering and rehabilitation · 2019Article
- The effect of asymmetric movement support on muscle activity during Lokomat guided gait in able-bodied individuals.PloS one · 2018Article
- Intra-Subject Consistency during Locomotion: Similarity in Shared and Subject-Specific Muscle Synergies.Frontiers in human neuroscience · 2017Article
- Modular control of gait after incomplete spinal cord injury: differences between sides.Spinal cord · 2017Article
- Are Modular Activations Altered in Lower Limb Muscles of Persons with Multiple Sclerosis during Walking? Evidence from Muscle Synergies and Biomechanical Analysis.Frontiers in human neuroscience · 2016Article
- Article
- Motor modules of human locomotion: influence of EMG averaging, concatenation, and number of step cycles.Frontiers in human neuroscience · 2014Article
- Article
- Modular control of varied locomotor tasks in children with incomplete spinal cord injuries.Journal of neurophysiology · 2013Article
- Effects of robotic guidance on the coordination of locomotion.Journal of neuroengineering and rehabilitation · 2013Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIt is hypothesized that locomotion is achieved by means of rhythm generating networks (central pattern generators) and muscle activation generating networks. This modular organization can be partly identified from the analysis of the muscular activity by means of factorization algorithms. The activity of rhythm generating networks is described by activation signals whilst the muscle intervention generating network is represented by motor modules (muscle synergies). In this study, we extend the analysis of modular organization of walking to the case of robot-aided locomotion, at varying speed and body weight support level.
methodsNon Negative Matrix Factorization was applied on surface electromyographic signals of 8 lower limb muscles of healthy subjects walking in gait robotic trainer at different walking velocities (1 to 3 km/h) and levels of body weight support (0 to 30%).
resultsThe muscular activity of volunteers could be described by low dimensionality (4 modules), as for overground walking. Moreover, the activation signals during robot-aided walking were bursts of activation timed at specific phases of the gait cycle, underlying an impulsive controller, as also observed in overground walking. This modular organization was consistent across the investigated speeds, body weight support level, and subjects.
conclusionsThese results indicate that walking in a Lokomat robotic trainer is achieved by similar motor modules and activation signals as overground walking and thus supports the use of robotic training for re-establishing natural walking patterns.
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Registered trials
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