From Brain Signals to Recovery: Neural Sensing for Functional Restoration
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 10 September 2026 | Viewed by 85
Special Issue Editors
Interests: biomedical signal processing; BCI; multimodal neuroimaging; neural engineering; neuromodulation; precision rehabilitation
Interests: biomedical signal processing; clinical neural engineering; neuromodulation; BCI; cognitive neuroscience
Special Issue Information
Dear Colleagues,
Brain–computer interfaces (BCIs), in a broad conceptual sense, are systems that acquire, interpret, and utilize brain signals to control external devices or provide neural feedback. These systems hold transformative potential for restoring sensorimotor function and enhancing the quality of life of individuals with neurological impairments. Among the most informative sensing modalities for BCI development are electroencephalography (EEG) and intracranial EEG (iEEG), which offer complementary insights into brain dynamics.
This Special Issue aims to highlight recent advances in neural sensing technologies, neuromodulation, signal processing, neural decoding, and machine learning approaches that leverage electrophysiological signatures for therapeutic and rehabilitative applications. We welcome original research and review articles that focus on the development, validation, and clinical integration of EEG and iEEG systems in neurorehabilitation and neural plasticity—particularly in contexts such as stroke, epilepsy, spinal cord injury, and other neuromotor or neurological disorders. The scope of this Special Issue includes sensor design, neurobiomarker discovery, multimodal data integration, real-time BCI systems, neuromodulation strategies, and translational neuroscience.
This Special Issue fits within the scope of Sensors by emphasizing the design, implementation, and application of biosensing technologies in healthcare, with a particular focus on neural sensing for therapeutic/rehabilitation and assistive systems.
Dr. Yingchun Zhang
Dr. Su Liu
Guest Editors
Manuscript Submission Information
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Keywords
- EEG
- iEEG
- EMG
- brain–computer interface (BCI)
- neurorehabilitation
- neural plasticity
- neuromodulation
- biosensors
- motor decoding
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