ArticleJournal of neuroengineering and rehabilitation2014
Assisting drinking with an affordable BCI-controlled wearable robot and electrical stimulation: a preliminary investigation.
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. Cited by 25 papers, 2 of them syntheses that pooled it.
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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
25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 89 citations in OpenAlex.
- EEG-Based BCIs on Motor Imagery Paradigm Using Wearable Technologies: A Systematic Review.Sensors (Basel, Switzerland) · 2023Pooled it
- EEG-Based Control for Upper and Lower Limb Exoskeletons and Prostheses: A Systematic Review.Sensors (Basel, Switzerland) · 2018Pooled it
- EEG-controlled functional electrical stimulation rehabilitation for chronic stroke: system design and clinical application.Frontiers of medicine · 2021Trial
- Space Physiology and Technology: Adaptations, Countermeasures, and Opportunities for Wearable Systems.Cyborg and bionic systems (Washington, D.C.) · 2026Review
- Repetitive Grasping After Stroke Assisted by Functional Electrical Stimulation.Artificial organs · 2025Observational
- Investigating singing imagery as an additional or alternative control task for EEG-based Brain-Computer Interfaces.Frontiers in human neuroscience · 2025Article
- Shaping high-performance wearable robots for human motor and sensory reconstruction and enhancement.Nature communications · 2024Review
- The assistive potential of functional electrical stimulation to support object manipulation in functional upper extremity movements after stroke: A randomized cross-over study.Journal of central nervous system disease · 2024Article
- Visual Sensor Fusion Based Autonomous Robotic System for Assistive Drinking.Sensors (Basel, Switzerland) · 2021Article
- Elbow Motion Trajectory Prediction Using a Multi-Modal Wearable System: A Comparative Analysis of Machine Learning Techniques.Sensors (Basel, Switzerland) · 2021Article
- Motor Training Using Mental Workload (MWL) With an Assistive Soft Exoskeleton System: A Functional Near-Infrared Spectroscopy (fNIRS) Study for Brain-Machine Interface (BMI).Frontiers in neurorobotics · 2021Article
- Functional Electrical Stimulation Controlled by Motor Imagery Brain-Computer Interface for Rehabilitation.Brain sciences · 2020Article
- Perceptions of Existing Wearable Robotic Devices for Upper Extremity and Suggestions for Their Development: Findings From Therapists and People With Stroke.JMIR rehabilitation and assistive technologies · 2018Article
- Mobile Mechatronic/Robotic Orthotic Devices to Assist-Rehabilitate Neuromotor Impairments in the Upper Limb: A Systematic and Synthetic Review.Frontiers in neuroscience · 2018Article
- Performance Assessment of a Custom, Portable, and Low-Cost Brain-Computer Interface Platform.IEEE transactions on bio-medical engineering · 2017Article
- A Hybrid FPGA-Based System for EEG- and EMG-Based Online Movement Prediction.Sensors (Basel, Switzerland) · 2017Article
- A Pilot Study on the Effects of Transcranial Direct Current Stimulation on Brain Rhythms and Entropy during Self-Paced Finger Movement using the Epoc Helmet.Frontiers in human neuroscience · 2017Article
- Classifying three imaginary states of the same upper extremity using time-domain features.PloS one · 2017Article
- Investigation of the effect of EEG-BCI on the simultaneous execution of flight simulation and attentional tasks.Medical & biological engineering & computing · 2016Article
- A small, portable, battery-powered brain-computer interface system for motor rehabilitation.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2016Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
backgroundThe aim of the present study is to demonstrate, through tests with healthy volunteers, the feasibility of potentially assisting individuals with neurological disorders via a portable assistive technology for the upper extremities (UE). For this purpose the task of independently drinking a glass of water was selected, as it is one of the most basic and vital activities of the daily living that is unfortunately not achievable by individuals severely affected by stroke.
methodsTo accomplish the aim of this study we introduce a wearable and portable system consisting of a novel lightweight Robotic Arm Orthosis (RAO), a Functional Electrical Stimulation (FES) system, and a simple wireless Brain-Computer Interface (BCI). This system is able to process electroencephalographic (EEG) signals and translate them into motions of the impaired arm. Five healthy volunteers participated in this study and were asked to simulate stroke patient symptoms with no voluntary control of their hand and arm. The setup was designed such as the volitional movements of the healthy volunteers' UE did not interfere with the evaluation of the proposed assistive system. The drinking task was split into eleven phases of which seven were executed by detecting EEG-based signals through the BCI. The user was asked to imagine UE motion related to the specific phase of the task to be assisted. Once detected by the BCI the phase was initiated. Each phase was then terminated when the BCI detected the volunteers clenching their teeth.
resultsThe drinking task was completed by all five participants with an average time of 127 seconds with a standard deviation of 23 seconds. The incremental motions of elbow extension and elbow flexion were the primary limiting factors for completing this task faster. The BCI control along with the volitional motions also depended upon the users pace, hence the noticeable deviation from the average time.
conclusionThrough tests conducted with healthy volunteers, this study showed that our proposed system has the potential for successfully assisting individuals with neurological disorders and hemiparetic stroke to independently drink from a glass.
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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.