Trial reportJournal of neuroengineering and rehabilitation2016
Blending of brain-machine interface and vision-guided autonomous robotics improves neuroprosthetic arm performance during grasping.
Trial report in Journal of neuroengineering and rehabilitation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 41 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.
Microelectrode Brain-Machine Interface for Individuals With Tetraplegia
A Sensorimotor Microelectrode Brain-Machine Interface for Individuals With Significant Upper Limb Impairment
Who cites it
41 citing papers in PubMed.
- How different immersive environments affect intracortical brain computer interfaces.Journal of neural engineering · 2025Trial
- Towards neuromorphic neurotechnologies: integrating brain-inspired computing with brain-computer interfaces.npj biomedical innovations · 2026Review
- Review of Recent Advances in Implantable Brain-Computer Interfaces for the Restoration of Motor Function in Patients With Paralysis.Medical science monitor : international medical journal of experimental and clinical research · 2026Review
- Global Trends in Research of Brain-Computer Interfaces in Neuroscience From 2014 to 2023: A Bibliometric Analysis.CNS neuroscience & therapeutics · 2026Review
- Innovative Assistive Technologies for Tetraplegia: A Narrative Review of Systematic and Emerging Evidence.Healthcare (Basel, Switzerland) · 2026Review
- Toward Natural Limb Function: A New Era in Prosthetic Innovation.Annals of neurology · 2025Review
- Article
- In vivo electrophysiology recordings and computational modeling can predict octopus arm movement.Bioelectronic medicine · 2025Article
- Exploring individual biases in BCI research and users: Does gender matter?Frontiers in human neuroscience · 2025Article
- A Roadmap for Implanting Electrode Arrays to Evoke Tactile Sensations Through Intracortical Stimulation.Human brain mapping · 2024Article
- Strength of activation and temporal dynamics of bioluminescent-optogenetics in response to systemic injections of the luciferin.NeuroImage · 2024Article
- Single unit electrophysiology recordings and computational modeling can predict octopus arm movement.bioRxiv : the preprint server for biology · 2024Article
- How different immersive environments affect intracortical brain computer interfaces.bioRxiv : the preprint server for biology · 2024Article
- A roadmap for implanting microelectrode arrays to evoke tactile sensations through intracortical microstimulation.medRxiv : the preprint server for health sciences · 2024Article
- Boosting brain-computer interfaces with functional electrical stimulation: potential applications in people with locked-in syndrome.Journal of neuroengineering and rehabilitation · 2023Review
- Intracortical brain-computer interfaces in primates: a review and outlook.Biomedical engineering letters · 2023Review
- Decoding and geometry of ten finger movements in human posterior parietal cortex and motor cortex.Journal of neural engineering · 2023Article
- Shared Control of Bimanual Robotic Limbs With a Brain-Machine Interface for Self-Feeding.Frontiers in neurorobotics · 2022Article
- Customizing skills for assistive robotic manipulators, an inverse reinforcement learning approach with error-related potentials.Communications biology · 2021Article
- A Bionic Hand for Semi-Autonomous Fragile Object Manipulation via Proximity and Pressure Sensors.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2021Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRecent studies have shown that brain-machine interfaces (BMIs) offer great potential for restoring upper limb function. However, grasping objects is a complicated task and the signals extracted from the brain may not always be capable of driving these movements reliably. Vision-guided robotic assistance is one possible way to improve BMI performance. We describe a method of shared control where the user controls a prosthetic arm using a BMI and receives assistance with positioning the hand when it approaches an object.
methodsTwo human subjects with tetraplegia used a robotic arm to complete object transport tasks with and without shared control. The shared control system was designed to provide a balance between BMI-derived intention and computer assistance. An autonomous robotic grasping system identified and tracked objects and defined stable grasp positions for these objects. The system identified when the user intended to interact with an object based on the BMI-controlled movements of the robotic arm. Using shared control, BMI controlled movements and autonomous grasping commands were blended to ensure secure grasps.
resultsBoth subjects were more successful on object transfer tasks when using shared control compared to BMI control alone. Movements made using shared control were more accurate, more efficient, and less difficult. One participant attempted a task with multiple objects and successfully lifted one of two closely spaced objects in 92 % of trials, demonstrating the potential for users to accurately execute their intention while using shared control.
conclusionsIntegration of BMI control with vision-guided robotic assistance led to improved performance on object transfer tasks. Providing assistance while maintaining generalizability will make BMI systems more attractive to potential users.
trial registrationNCT01364480 and NCT01894802 .
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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.