Brain–Computer Interface in Neurorehabilitation
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 57
Special Issue Editors
2. Department of Health Technology, Technical University of Denmark, Ørsteds Plads, DK-2800 Lyngby, Denmark
Interests: healthcare system design; brain–computer interfaces (BCIs); biomedical signal processing; clinical engineering; artificial intelligence in healthcare
Special Issue Information
Dear Colleagues,
Brain–computer interfaces (BCIs) create a direct connection between brain signals and external devices, bypassing peripheral nerves and muscles. In neurorehabilitation, brain-driven commands are mainly used to control exoskeletons, trigger functional electrical stimulation (FES), and guide neural-robotic therapy in patients with neurological disorders such as stroke or spinal cord injury. This Special Issue of Bioengineering invites high-quality original research, technical reports, clinical trials, systematic reviews, and forward-looking perspectives that advance the science, engineering, and clinical translation of BCI-controlled neurorehabilitation systems.
Topics of interest within this Special Issue include, but are not limited to, the following:
- Developments of BCI-controlled neurorehabilitation systems.
- Novel invasive or non-invasive BCIs and advanced AI algorithms for decoding brain signals (like EEG) into control commands.
- Closed-loop neural stimulation strategies that enhance plasticity.
- Feedback frameworks coupling BCIs with exoskeletons, FES, VR/AR, or haptics.
- Smart sensors and wearables for monitoring brain signals and assessing post-rehabilitation outcomes.
- Quantitative assessment methods using electrophysiology, kinematics, and clinical scales.
- Multimodal neuroimaging or biosensing for monitoring neuroplasticity.
- Clinical studies for analyzing the effectiveness of BCI-based rehabilitation.
By assembling interdisciplinary contributions from engineers, neuroscientists, clinicians, therapists, and industry innovators, this Special Issue aims to map the current frontiers, identify translational gaps, and promote the development of next-generation interventions that restore motor function, independence, and quality of life after neural disorders like stroke and spinal cord injury. All submissions will undergo rapid yet thorough peer reviews to ensure timely dissemination of impactful advances to the global neurorehabilitation community.
Dr. Muhammad Ahmed Khan
Dr. Sadasivan Puthusserypady
Guest Editors
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Keywords
- brain–computer interface (BCI)
- BCI-controlled neurorehabilitation
- neural stimulation
- functional electrical stimulation (FES)
- rehabilitation robotics
- exoskeletons
- AI algorithms for EEG decoding
- wearable sensors
- neural plasticity
- rehabilitation assessment
- neuroimaging
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