ReviewFrontiers in bioengineering and biotechnology2015
A Muscle Synergy-Inspired Adaptive Control Scheme for a Hybrid Walking Neuroprosthesis.
Review in Frontiers in bioengineering and biotechnology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04453943 (Modeling, Optimization, and Control Methods for a Personalized Hybrid Walking Exoskeleton), which is not on this map. Cited by 19 papers.
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.
Modeling, Optimization, and Control Methods for a Personalized Hybrid Walking Exoskeleton
Who cites it
19 citing papers in PubMed, 46 citations in OpenAlex.
- A new modular neuroprosthesis suitable for hybrid FES-robot applications and tailored assistance.Journal of neuroengineering and rehabilitation · 2024Article
- Quantitative evaluation of motion compensation in post-stroke rehabilitation training based on muscle synergy.Frontiers in bioengineering and biotechnology · 2024Article
- Machine-learning-based coordination of powered ankle-foot orthosis and functional electrical stimulation for gait control.Frontiers in bioengineering and biotechnology · 2023Article
- An Iterative Learning Controller for a Switched Cooperative Allocation Strategy during Sit-to-Stand Tasks with a Hybrid Exoskeleton.IEEE transactions on control systems technology : a publication of the IEEE Control Systems Society · 2022Article
- Biologically Inspired Optimal Terminal Iterative Learning Control for the Swing Phase of Gait in a Hybrid Neuroprosthesis: A Modeling Study.Bioengineering (Basel, Switzerland) · 2022Article
- Shared Control of a Powered Exoskeleton and Functional Electrical Stimulation Using Iterative Learning.Frontiers in robotics and AI · 2021Article
- Closed-Loop Torque and Kinematic Control of a Hybrid Lower-Limb Exoskeleton for Treadmill Walking.Frontiers in robotics and AI · 2021Article
- Neural Networks TrainedFrontiers in robotics and AI · 2021Article
- Variability of Muscle Synergies in Hand Grasps: Analysis of Intra- and Inter-Session Data.Sensors (Basel, Switzerland) · 2020Article
- Model Predictive Control of a Feedback-Linearized Hybrid Neuroprosthetic System With a Barrier Penalty.Journal of computational and nonlinear dynamics · 2019Article
- Sub-optimally Solving Actuator Redundancy in a Hybrid Neuroprosthetic System with a Multi-layer Neural Network Structure.International journal of intelligent robotics and applications · 2019Article
- Cortical Correlates of Locomotor Muscle Synergy Activation in Humans: An Electroencephalographic Decoding Study.iScience · 2019Article
- Neuromusculoskeletal model that walks and runs across a speed range with a few motor control parameter changes based on the muscle synergy hypothesis.Scientific reports · 2019Article
- Methods for measuring swallowing pressure variability using high-resolution manometry.Frontiers in applied mathematics and statistics · 2018Article
- A Control Scheme That Uses Dynamic Postural Synergies to Coordinate a Hybrid Walking Neuroprosthesis: Theory and Experiments.Frontiers in neuroscience · 2018Article
- Muscle Synergy Alteration of Human During Walking With Lower Limb Exoskeleton.Frontiers in neuroscience · 2018Article
- Low-Dimensional Synergistic Representation of Bilateral Reaching Movements.Frontiers in bioengineering and biotechnology · 2017Article
- Cooperative Control for A Hybrid Rehabilitation System Combining Functional Electrical Stimulation and Robotic Exoskeleton.Frontiers in neuroscience · 2017Article
- Muscle Synergies Facilitate Computational Prediction of Subject-Specific Walking Motions.Frontiers in bioengineering and biotechnology · 2016Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
A hybrid neuroprosthesis that uses an electric motor-based wearable exoskeleton and functional electrical stimulation (FES) has a promising potential to restore walking in persons with paraplegia. A hybrid actuation structure introduces effector redundancy, making its automatic control a challenging task because multiple muscles and additional electric motor need to be coordinated. Inspired by the muscle synergy principle, we designed a low dimensional controller to control multiple effectors: FES of multiple muscles and electric motors. The resulting control system may be less complex and easier to control. To obtain the muscle synergy-inspired low dimensional control, a subject-specific gait model was optimized to compute optimal control signals for the multiple effectors. The optimal control signals were then dimensionally reduced by using principal component analysis to extract synergies. Then, an adaptive feedforward controller with an update law for the synergy activation was designed. In addition, feedback control was used to provide stability and robustness to the control design. The adaptive-feedforward and feedback control structure makes the low dimensional controller more robust to disturbances and variations in the model parameters and may help to compensate for other time-varying phenomena (e.g., muscle fatigue). This is proven by using a Lyapunov stability analysis, which yielded semi-global uniformly ultimately bounded tracking. Computer simulations were performed to test the new controller on a 4-degree of freedom gait model.
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What OpenQuestion holds
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.