Advanced Sensors for Neurorehabilitation: Empowering Precision and Personalized Therapy—2nd Edition
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 15 December 2025 | Viewed by 58
Special Issue Editor
Interests: neurorehabilitation; human–machine interfaces; functional electrical stimulation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Neurorehabilitation aims to restore and enhance motor and cognitive functions in individuals with neurological disorders. Here, we wish to delve into the advances, challenges, and future prospects of advanced sensor technologies in neurorehabilitation. Recent achievements in sensor technology have revolutionized the field, offering objective assessments and personalized interventions. This Special Issue provides an overview of advanced sensors for neurorehabilitation and their potential to transform traditional approaches.
Advanced sensors, such as wearables, robots, and neuroimaging technologies, enable the real-time monitoring of physiological and biomechanical parameters. They quantify motor performance, assess neuromuscular activation, and evaluate brain activity, providing insights into intervention effectiveness. High-resolution data collected by these sensors can be analyzed using artificial intelligence and machine learning algorithms to enhance our understanding of neuroplastic processes.
By enabling personalized treatment plans, advanced sensors optimize neurorehabilitation and improve functional outcomes. Clinicians benefit from objective measures, allowing for the precise monitoring of progress and data-driven adjustments to therapy. Patients receive immediate feedback, enhancing engagement and motivation during rehabilitation.
In conclusion, advanced sensors in neurorehabilitation hold promise for transforming the field. Objective assessments, personalized interventions, and real-time feedback have the potential to revolutionize traditional rehabilitation, leading to improved patient outcomes and enhanced quality of life.
Dr. Vance Bergeron
Guest Editor
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Keywords
- neurorehabilitation
- advanced sensors
- neural interfaces
- rehabilitation technology
- wearable sensors
- human–machine interface
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