ArticleiScience2023
Brain-computer interface enhanced by virtual reality training for controlling a lower limb exoskeleton.
Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Brain-computer interfaces: innovations and challenges in the field of cerebral palsy rehabilitation.Italian journal of pediatrics · 2026Review
- Technical system of electroencephalography-based brain-computer interface: Advances, applications, and challenges.Neural regeneration research · 2026Article
- Human-machine Interface using functional electrostimulation and inertial sensors for lower limb rehabilitation in spinal cord injury individuals: a proof of concept.Medical & biological engineering & computing · 2026Article
- Rewiring Attention: Virtual Reality and Brain-Computer Interfaces in the Rehabilitation of Unilateral Spatial Neglect.Journal of clinical medicine · 2026Review
- Article
- Quantifying and evaluating motor imagery ability using EEG microstates in MI-BCI training.Experimental brain research · 2025Article
- Applying a Virtual Art Therapy System Based on the Michelangelo Effect in Patients with Spinal Cord Injury.Sensors (Basel, Switzerland) · 2025Article
- [Evaluation methods for the rehabilitation efficacy of bidirectional closed-loop motor imagery brain-computer interface active rehabilitation training systems].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025Review
- Neural modifications of transtibial prosthesis (TTP) users: an event-related potentials study.Journal of neuroengineering and rehabilitation · 2025Article
- Recent applications of EEG-based brain-computer-interface in the medical field.Military Medical Research · 2025Review
- Psychological outcomes of extended reality interventions in spinal cord injury rehabilitation: a systematic scoping review.Spinal cord · 2025Article
- MSEI-ENet: A Multi-Scale EEG-Inception Integrated Encoder Network for Motor Imagery EEG Decoding.Brain sciences · 2025Article
- A Bibliometric Analysis of the Application of Brain-Computer Interface in Rehabilitation Medicine Over the Past 20 Years.Journal of multidisciplinary healthcare · 2025Article
- MACNet: A Multidimensional Attention-Based Convolutional Neural Network for Lower-Limb Motor Imagery Classification.Sensors (Basel, Switzerland) · 2024Article
- Clinical Feasibility of Applying Immersive Virtual Reality during Robot-Assisted Gait Training for Individuals with Neurological Diseases: A Pilot Study.Brain sciences · 2024Article
- Virtual Reality as a Therapeutic Tool in Spinal Cord Injury Rehabilitation: A Comprehensive Evaluation and Systematic Review.Journal of clinical medicine · 2024Review
- [Virtual reality-brain computer interface hand function enhancement rehabilitation system incorporating multi-sensory stimulation].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024Article
- User Evaluation of a Shared Robot Control System Combining BCI and Eye Tracking in a Portable Augmented Reality User Interface.Sensors (Basel, Switzerland) · 2024Article
- Brain-machine interface based on deep learning to control asynchronously a lower-limb robotic exoskeleton: a case-of-study.Journal of neuroengineering and rehabilitation · 2024Article
- Advancements in brain-computer interfaces for the rehabilitation of unilateral spatial neglect: a concise review.Frontiers in neuroscience · 2024Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study explores the use of a brain-computer interface (BCI) based on motor imagery (MI) for the control of a lower limb exoskeleton to aid in motor recovery after a neural injury. The BCI was evaluated in ten able-bodied subjects and two patients with spinal cord injuries. Five able-bodied subjects underwent a virtual reality (VR) training session to accelerate training with the BCI. Results from this group were compared with a control group of five able-bodied subjects, and it was found that the employment of shorter training by VR did not reduce the effectiveness of the BCI and even improved it in some cases. Patients gave positive feedback about the system and were able to handle experimental sessions without reaching high levels of physical and mental exertion. These results are promising for the inclusion of BCI in rehabilitation programs, and future research should investigate the potential of the MI-based BCI system.
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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.