ArticleSensors (Basel, Switzerland)2019
Physiological Responses During Hybrid BNCI Control of an Upper-Limb Exoskeleton.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Multimodal Evaluation of Mental Workload and Engagement in Upper-Limb Robot-Assisted Motor Tasks.Sensors (Basel, Switzerland) · 2026Article
- Trends and Innovations in Wearable Technology for Motor Rehabilitation, Prediction, and Monitoring: A Comprehensive Review.Sensors (Basel, Switzerland) · 2024Review
- Biosignal-integrated robotic systems with emerging trends in visual interfaces: A systematic review.Biophysics reviews · 2024Review
- An ML-Based Approach to Reconstruct Heart Rate from PPG in Presence of Motion Artifacts.Biosensors · 2023Article
- Affective state estimation based on Russell's model and physiological measurements.Scientific reports · 2023Article
- 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
- Patients' physiological reactions to competitive rehabilitation therapies assisted by robotic devices.Journal of neuroengineering and rehabilitation · 2023Article
- EOG-Based Human-Computer Interface: 2000-2020 Review.Sensors (Basel, Switzerland) · 2022Review
- Measuring mental workload in assistive wearable devices: a review.Journal of neuroengineering and rehabilitation · 2021Review
- Assistance Robotics and Biosensors 2019.Sensors (Basel, Switzerland) · 2020Article
- Electro-Encephalography and Electro-Oculography in Aeronautics: A Review Over the Last Decade (2010-2020).Frontiers in neuroergonomics · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
When combined with assistive robotic devices, such as wearable robotics, brain/neural-computer interfaces (BNCI) have the potential to restore the capabilities of handicapped people to carry out activities of daily living. To improve applicability of such systems, workload and stress should be reduced to a minimal level. Here, we investigated the user's physiological reactions during the exhaustive use of the interfaces of a hybrid control interface. Eleven BNCI-naive healthy volunteers participated in the experiments. All participants sat in a comfortable chair in front of a desk and wore a whole-arm exoskeleton as well as wearable devices for monitoring physiological, electroencephalographic (EEG) and electrooculographic (EoG) signals. The experimental protocol consisted of three phases: (i) Set-up, calibration and BNCI training; (ii) Familiarization phase; and (iii) Experimental phase during which each subject had to perform EEG and EoG tasks. After completing each task, the NASA-TLX questionnaire and self-assessment manikin (SAM) were completed by the user. We found significant differences (
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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.