Computer-Assisted Technologies in Sports Medicine and Rehabilitation, 2nd Edition
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: closed (20 October 2024)
Special Issue Editors
Interests: robotics and automation; virtual design and manufacturing innovation; rehabilitation-focused research; medical device design and mechanical design and optimization; biomaterials and biomechanics; finite element analysis; crystal plasticity finite element method
Special Issues, Collections and Topics in MDPI journals
Interests: real time systems; image and signal processing; robotics and computer vision; system-on-a-chip design; pattern recognition; neural networks; medical imaging; engineering education
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Computer-assisted technologies to aid in the design, analysis, and manufacture of products are becoming common in sports medicine and rehabilitation as the supporting areas of computers, embedded systems, communication systems, robotics, and deep learning become more mature.
This Special Issue aims to publish a collection of research contributions illustrating the recent achievements in all aspects of the development, study, and understanding of computer-assisted technologies in sports medicine and rehabilitation. Examples of areas that are relevant for publication include, but are not limited to, the following:
Computer-assisted surgery/therapy;
Robot-assisted rehabilitation technologies;
Wearable sensors in sports medicine and rehabilitation;
Gait motion modeling and analysis;
Virtual reality/augmented reality in sports medicine and rehabilitation;
Body area networks (BAN);
Deep learning for sports data analysis, etc.
Contributions in the form of full papers, reviews, and communications about the related topics are welcome.
Dr. Chung Hyun Goh
Prof. Dr. Mukul Shirvaikar
Guest Editors
Manuscript Submission Information
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Keywords
- computer-assisted surgery/therapy
- robot-assisted rehabilitation technologies
- wearable sensors in sports medicine and rehabilitation
- gait motion modeling and analysis
- virtual reality/augmented reality in sports medicine and rehabilitation
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