Technological Advances in Neurorehabilitation
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biomedical Engineering and Biomaterials".
Deadline for manuscript submissions: 30 September 2025 | Viewed by 74
Special Issue Editors
Interests: motor control; motor learning; stroke; brachial plexus injury
Special Issue Information
Dear Colleagues,
Advancements in technology have introduced a wealth of innovative tools for rehabilitation, clinical assessment, and assistive devices, offering new opportunities for persons with neurological conditions such as stroke or Parkinson’s disease, as well as for children at risk of cerebral palsy, among others. This Special Issue is dedicated to highlighting the latest breakthroughs in these areas and promoting fresh, interdisciplinary solutions to address the ongoing challenges in neurological rehabilitation.
Our goal is to stimulate rich discussion and encourage contributions from diverse research communities. By showcasing cutting-edge methodologies and experimental validations, we aim to drive forward meaningful improvements in quality of care and rehabilitation outcomes for affected individuals.
We invite original research, including experimental studies and proof of concept papers for novel technological innovations, related to, but not restricted to, the following topics:
- Advanced Assessment Techniques
The development and application of state-of-the-art technologies such as neuroimaging, bio-sensors, and wearable devices for precise, non-invasive assessments of neurological function. - Assistive and Rehabilitation Robotics
Design, implementation, and clinical use of robotic systems aimed at motor and cognitive rehabilitation, including exoskeletons, assistive devices, and virtual reality platforms. - Neuro-modulation Techniques
Exploration of non-invasive and minimally invasive therapies, such as transcranial magnetic stimulation (TMS), transcranial direct current stimulation (tDCS), transcutaneous spinal cord stimulation (tSCS), and deep brain stimulation (DBS) to enhance neurological recovery. - Artificial Intelligence and Machine Learning
Leveraging AI and machine learning to support personalized diagnosis, treatment planning, and rehabilitation outcome prediction.
We are excited to receive your contributions and look forward to fostering a dynamic exchange of ideas that will shape the future of neurological rehabilitation and assistive technologies.
Dr. Susan V. Duff
Dr. Andria J. Farrens
Guest Editors
Manuscript Submission Information
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Keywords
- assistive technology
- neuroimaging
- neurorehabilitation
- robotics
- wearables
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