ArticleJournal of neuroengineering and rehabilitation2014
Enhancing brain-machine interface (BMI) control of a hand exoskeleton using electrooculography (EOG).
Article in Journal of neuroengineering and rehabilitation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02336321 (Restoration of Daily-life Hand Function Using a Brain/Neural-Computer Interaction), which is not on this map. Cited by 26 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Restoration of Daily-life Hand Function Using a Brain/Neural-Computer Interaction (BNCI) System in Paralysis After Cervical Spinal Cord Injury
Who cites it
26 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Hand-worn devices for assessment and rehabilitation of motor function and their potential use in BCI protocols: a review.Frontiers in human neuroscience · 2023Pooled it
- Brain-computer interface robotics for hand rehabilitation after stroke: a systematic review.Journal of neuroengineering and rehabilitation · 2021Pooled it
- EEG-Based Control for Upper and Lower Limb Exoskeletons and Prostheses: A Systematic Review.Sensors (Basel, Switzerland) · 2018Pooled it
- Using a brain-machine interface to control a hybrid upper limb exoskeleton during rehabilitation of patients with neurological conditions.Journal of neuroengineering and rehabilitation · 2015Trial
- Review of Soft Robotic Gloves and Functional Electrical Stimulation Affecting Hand Function Rehabilitation for Stroke Patients.Biomimetics (Basel, Switzerland) · 2026Review
- Review of sEMG for Exoskeleton Robots: Motion Intention Recognition Techniques and Applications.Sensors (Basel, Switzerland) · 2025Review
- A Bibliometric Review of Brain-Computer Interfaces in Motor Imagery and Steady-State Visually Evoked Potentials for Applications in Rehabilitation and Robotics.Sensors (Basel, Switzerland) · 2024Review
- Time synchronization between parietal-frontocentral connectivity with MRCP and gait in post-stroke bipedal tasks.Journal of neuroengineering and rehabilitation · 2024Article
- Hybrid brain/neural interface and autonomous vision-guided whole-arm exoskeleton control to perform activities of daily living (ADLs).Journal of neuroengineering and rehabilitation · 2023Article
- The Berlin Bimanual Test for Tetraplegia (BeBiTT): development, psychometric properties, and sensitivity to change in assistive hand exoskeleton application.Journal of neuroengineering and rehabilitation · 2023Article
- EOG-Based Human-Computer Interface: 2000-2020 Review.Sensors (Basel, Switzerland) · 2022Review
- Flexible Electronics and Devices as Human-Machine Interfaces for Medical Robotics.Advanced materials (Deerfield Beach, Fla.) · 2022Review
- SSA with CWT andSensors (Basel, Switzerland) · 2022Article
- fNIRS-Based Upper Limb Motion Intention Recognition Using an Artificial Neural Network for Transhumeral Amputees.Sensors (Basel, Switzerland) · 2022Article
- Adaptive Extreme Edge Computing for Wearable Devices.Frontiers in neuroscience · 2021Review
- Post-stroke Rehabilitation of Severe Upper Limb Paresis in Germany - Toward Long-Term Treatment With Brain-Computer Interfaces.Frontiers in neurology · 2021Review
- Adaptation Strategies for Personalized Gait Neuroprosthetics.Frontiers in neurorobotics · 2021Article
- Electro-Encephalography and Electro-Oculography in Aeronautics: A Review Over the Last Decade (2010-2020).Frontiers in neuroergonomics · 2020Review
- Feasibility and Safety of Bilateral Hybrid EEG/EOG Brain/Neural-Machine Interaction.Frontiers in human neuroscience · 2020Article
- Physiological Responses During Hybrid BNCI Control of an Upper-Limb Exoskeleton.Sensors (Basel, Switzerland) · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBrain-machine interfaces (BMIs) allow direct translation of electric, magnetic or metabolic brain signals into control commands of external devices such as robots, prostheses or exoskeletons. However, non-stationarity of brain signals and susceptibility to biological or environmental artifacts impede reliable control and safety of BMIs, particularly in daily life environments. Here we introduce and tested a novel hybrid brain-neural computer interaction (BNCI) system fusing electroencephalography (EEG) and electrooculography (EOG) to enhance reliability and safety of continuous hand exoskeleton-driven grasping motions.
findings12 healthy volunteers (8 male, mean age 28.1 ± 3.63y) used EEG (condition #1) and hybrid EEG/EOG (condition #2) signals to control a hand exoskeleton. Motor imagery-related brain activity was translated into exoskeleton-driven hand closing motions. Unintended motions could be interrupted by eye movement-related EOG signals. In order to evaluate BNCI control and safety, participants were instructed to follow a visual cue indicating either to move or not to move the hand exoskeleton in a random order. Movements exceeding 25% of a full grasping motion when the device was not supposed to be moved were defined as safety violation. While participants reached comparable control under both conditions, safety was frequently violated under condition #1 (EEG), but not under condition #2 (EEG/EOG).
conclusionEEG/EOG biosignal fusion can substantially enhance safety of assistive BNCI systems improving their applicability in daily life environments.
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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.