Wearable Sensors in Medical Diagnostics and Rehabilitation
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 20 June 2025 | Viewed by 235
Special Issue Editors
2. Department of Chemical & Biological Engineering, The University of Alabama, Tuscaloosa, AL 35487, USA
Interests: wearable robotics and control; neuromuscular modeling and control; advanced controls; human biomechanics; biomedical engineering
Interests: assistive and rehabilitation robotics; including robotic lower-limb prostheses; portable lower-limb orthoses/exoskeletons; and legged/wheeled robotic platforms for assistive and therapeutic purposes
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Special Issue Information
Dear Colleagues,
In the rapidly evolving landscape of healthcare technology, wearable sensors represent a pivotal advancement, offering unprecedented opportunities for medical diagnostics and rehabilitation. This Special Issue, titled 'Wearable Sensors in Medical Diagnostics and Rehabilitation', invites contributions that explore cutting-edge developments in wearable sensor technology. We seek research that demonstrates innovative designs, novel applications, and significant advancements in sensors capable of monitoring physiological signals and biomechanical parameters.
The focus is on sensors that enhance patient care through real-time health monitoring, the early detection of diseases, continuous therapeutic feedback, and personalized rehabilitation strategies. Contributions may include, but are not limited to, the development of new sensor materials, the integration of sensors with mobile and IoT devices, AI-driven data analysis for health assessment, and user-friendly designs for everyday wear.
Through comprehensive research articles, reviews, and case studies, this collection aims to showcase technologies that make healthcare more accessible, efficient, and tailored to individual needs. We encourage submissions from interdisciplinary teams that are pushing the boundaries of what wearable medical devices can achieve, thus driving the fields of medical diagnostics and rehabilitation forward.
Dr. Qiang (Jason) Zhang
Prof. Dr. Xiangrong Shen
Guest Editors
Manuscript Submission Information
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Keywords
- wearable sensors
- signal processing
- medical diagnostics
- rehabilitation technology
- biomechanical sensors
- AI-driven analytics
- personalized healthcare
- sensor fusion
- disease detection
- sensing, monitoring, and mapping
- wearable robotics
- sensor materials
- mobile health devices
- smart healthcare solutions
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