ArticleFrontiers in neuroscience2016
Hybrid Neuroprosthesis for the Upper Limb: Combining Brain-Controlled Neuromuscular Stimulation with a Multi-Joint Arm Exoskeleton.
Article in Frontiers in neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 4 of them syntheses 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
24 citing papers in PubMed, 4 syntheses or guidelines pooled it, 67 citations in OpenAlex.
- On the correlation between training modalities and recovery stages in poststroke robotic rehabilitation of the upper limb: a systematic review.Journal of neuroengineering and rehabilitation · 2026Pooled it
- Clinical applications of neurofeedback based on sensorimotor rhythm: a systematic review and meta-analysis.Frontiers in neuroscience · 2023Pooled it
- A Systematic Review of Closed-Loop Feedback Techniques in Sleep Studies-Related Issues and Future Directions.Sensors (Basel, Switzerland) · 2020Pooled it
- EEG-Based Control for Upper and Lower Limb Exoskeletons and Prostheses: A Systematic Review.Sensors (Basel, Switzerland) · 2018Pooled it
- Guided corticomuscular neuroplasticity for restoration of wrist-hand function post-stroke.Journal of neuroengineering and rehabilitation · 2026Trial
- Effects of bilateral and unilateral mental practice on actual motor performance and event-related desynchronization.PloS one · 2026Trial
- An EEG-EMG-kinematics dataset from wrist pointing tasks for biomarker research in neurorehabilitation.Scientific data · 2026Article
- EEG-timed neuromuscular stimulation shapes ipsilateral TMS-evoked motor responses in humans.Clinical neurophysiology practice · 2026Article
- Article
- Decoding hand and wrist movement intention from chronic stroke survivors with hemiparesis using a user-friendly, wearable EMG-based neural interface.Journal of neuroengineering and rehabilitation · 2024Article
- Scoping Review on Brain-Computer Interface-Controlled Electrical Stimulation Interventions for Upper Limb Rehabilitation in Adults: A Look at Participants, Interventions, and Technology.Physiotherapy Canada. Physiotherapie Canada · 2023Article
- A Review of Brain Activity and EEG-Based Brain-Computer Interfaces for Rehabilitation Application.Bioengineering (Basel, Switzerland) · 2022Review
- Robot Assisted Treatment of Hand Functional Rehabilitation Based on Visual Motor Imagination.Frontiers in aging neuroscience · 2022Article
- Clinical validation of kinematic assessments of post-stroke upper limb movements with a multi-joint arm exoskeleton.Journal of neuroengineering and rehabilitation · 2021Article
- Brain-Machine Neurofeedback: Robotics or Electrical Stimulation?Frontiers in bioengineering and biotechnology · 2020Article
- Mobile Mechatronic/Robotic Orthotic Devices to Assist-Rehabilitate Neuromotor Impairments in the Upper Limb: A Systematic and Synthetic Review.Frontiers in neuroscience · 2018Article
- A Hybrid FPGA-Based System for EEG- and EMG-Based Online Movement Prediction.Sensors (Basel, Switzerland) · 2017Article
- Low Latency Estimation of Motor Intentions to Assist Reaching Movements along Multiple Sessions in Chronic Stroke Patients: A Feasibility Study.Frontiers in neuroscience · 2017Article
- The Effects of Upper-Limb Training Assisted with an Electromyography-Driven Neuromuscular Electrical Stimulation Robotic Hand on Chronic Stroke.Frontiers in neurology · 2017Article
- Robot-assisted gait training for stroke patients: current state of the art and perspectives of robotics.Neuropsychiatric disease and treatment · 2017Review
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Brain-machine interface-controlled (BMI) neurofeedback training aims to modulate cortical physiology and is applied during neurorehabilitation to increase the responsiveness of the brain to subsequent physiotherapy. In a parallel line of research, robotic exoskeletons are used in goal-oriented rehabilitation exercises for patients with severe motor impairment to extend their range of motion (ROM) and the intensity of training. Furthermore, neuromuscular electrical stimulation (NMES) is applied in neurologically impaired patients to restore muscle strength by closing the sensorimotor loop. In this proof-of-principle study, we explored an integrated approach for providing assistance as needed to amplify the task-related ROM and the movement-related brain modulation during rehabilitation exercises of severely impaired patients. For this purpose, we combined these three approaches (BMI, NMES, and exoskeleton) in an integrated neuroprosthesis and studied the feasibility of this device in seven severely affected chronic stroke patients who performed wrist flexion and extension exercises while receiving feedback via a virtual environment. They were assisted by a gravity-compensating, seven degree-of-freedom exoskeleton which was attached to the paretic arm. NMES was applied to the wrist extensor and flexor muscles during the exercises and was controlled by a hybrid BMI based on both sensorimotor cortical desynchronization (ERD) and electromyography (EMG) activity. The stimulation intensity was individualized for each targeted muscle and remained subthreshold, i.e., induced no overt support. The hybrid BMI controlled the stimulation significantly better than the offline analyzed ERD (p = 0.028) or EMG (p = 0.021) modality alone. Neuromuscular stimulation could be well integrated into the exoskeleton-based training and amplified both the task-related ROM (p = 0.009) and the movement-related brain modulation (p = 0.019). Combining a hybrid BMI with neuromuscular stimulation and antigravity assistance augments upper limb function and brain activity during rehabilitation exercises and may thus provide a novel restorative framework for severely affected stroke patients.
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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.