ArticleBioMed research international2017
Towards Rehabilitation Robotics: Off-the-Shelf BCI Control of Anthropomorphic Robotic Arms.
Article in BioMed research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02443558 (Brainwave Control of a Wearable Robotic Arm for Rehabilitation and Neurophysiological Study in Cervical Spine Injury), which is not on this map. Cited by 13 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.
Brainwave Control of a Wearable Robotic Arm for Rehabilitation and Neurophysiological Study in Cervical Spine Injury
Who cites it
13 citing papers in PubMed, 41 citations in OpenAlex.
- Electroencephalogram-based adaptive closed-loop brain-computer interface in neurorehabilitation: a review.Frontiers in computational neuroscience · 2024Review
- Motor imagery for paediatric neurorehabilitation: how much do we know? Perspectives from a systematic review.Frontiers in human neuroscience · 2024Review
- Sensor Fusion-Based Anthropomorphic Control of a Robotic Arm.Bioengineering (Basel, Switzerland) · 2023Article
- Neurorehabilitation Through Synergistic Man-Machine Interfaces Promoting Dormant Neuroplasticity in Spinal Cord Injury: Protocol for a Nonrandomized Controlled Trial.JMIR research protocols · 2022Article
- Use of Force Feedback Device in a Hybrid Brain-Computer Interface Based on SSVEP, EOG and Eye Tracking for Sorting Items.Sensors (Basel, Switzerland) · 2021Article
- Converging Robotic Technologies in Targeted Neural Rehabilitation: A Review of Emerging Solutions and Challenges.Sensors (Basel, Switzerland) · 2021Review
- The combination of brain-computer interfaces and artificial intelligence: applications and challenges.Annals of translational medicine · 2020Review
- Reconfiguring Motor Circuits for a Joint Manual and BCI Task.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2020Article
- EEG-Based Brain-Computer Interfaces Using Motor-Imagery: Techniques and Challenges.Sensors (Basel, Switzerland) · 2019Review
- Brain Functional Networks Study of Subacute Stroke Patients With Upper Limb Dysfunction After Comprehensive Rehabilitation Including BCI Training.Frontiers in neurology · 2019Article
- Decoding Motor Imagery through Common Spatial Pattern Filters at the EEG Source Space.Computational intelligence and neuroscience · 2018Article
- Functional Brain Connectivity during Multiple Motor Imagery Tasks in Spinal Cord Injury.Neural plasticity · 2018Article
- A Systematic Review of Investigations into Functional Brain Connectivity Following Spinal Cord Injury.Frontiers in human neuroscience · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Advances in neural interfaces have demonstrated remarkable results in the direction of replacing and restoring lost sensorimotor function in human patients. Noninvasive brain-computer interfaces (BCIs) are popular due to considerable advantages including simplicity, safety, and low cost, while recent advances aim at improving past technological and neurophysiological limitations. Taking into account the neurophysiological alterations of disabled individuals, investigating brain connectivity features for implementation of BCI control holds special importance. Off-the-shelf BCI systems are based on fast, reproducible detection of mental activity and can be implemented in neurorobotic applications. Moreover, social Human-Robot Interaction (HRI) is increasingly important in rehabilitation robotics development. In this paper, we present our progress and goals towards developing off-the-shelf BCI-controlled anthropomorphic robotic arms for assistive technologies and rehabilitation applications. We account for robotics development, BCI implementation, and qualitative assessment of HRI characteristics of the system. Furthermore, we present two illustrative experimental applications of the BCI-controlled arms, a study of motor imagery modalities on healthy individuals' BCI performance, and a pilot investigation on spinal cord injured patients' BCI control and brain connectivity. We discuss strengths and limitations of our design and propose further steps on development and neurophysiological study, including implementation of connectivity features as BCI modality.
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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.