Biomedical Engineering with Advanced Technology for Injury Prevention: AI, Wearable Sensors, Robotics, and Intelligent Monitoring Systems
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Engineering and Materials".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 155
Special Issue Editor
Special Issue Information
Dear Colleagues,
The Special Issue “Biomedical Engineering with Advanced Technology for Injury Prevention” highlights the rapidly expanding intersection of engineering innovation and injury-mitigation sciences. As injury risks remain a global concern across sports, clinical settings, workplace ergonomics, and daily activities, emerging technologies, particularly artificial intelligence (AI), wearable biosensors, robotics and imaging systems, offer significant opportunities for early detection, real-time monitoring, and predictive analytics. This Special Issue aims to gather innovative research that leverages advanced biomedical engineering tools to understand injury mechanisms and forecast risks, and develop proactive prevention strategies.
We welcome contributions addressing technological, methodological, and translational advancements that improve safety, enhance rehabilitation outcomes, and support personalized injury-risk management. To better align with the scope of Symmetry, submissions that examine symmetry or asymmetry in human movement, physiological signals, physiological signals, wearable-sensor data, or computational biomechanical models are particularly encouraged, as these patterns are essential indicators of functional balance, performance efficiency, and injury risk.
Topics of Interest:
We invite original research articles, reviews, and case studies on topics including, but not limited to:
- AI-Driven Injury Prediction: Machine learning, deep learning, digital twins, risk-modeling algorithms;
- Wearable Sensors & Smart Materials: IMUs, EMG, pressure sensors, strain sensors, and physiology-monitoring devices;
- Biomechanics & Movement Analysis: Motion capture, gait analysis, posture assessment, neuromuscular modeling;
- Robotics & Exoskeletons for Injury Reduction: Assistive and preventive device design, ergonomic support systems;
- VR/AR-Enhanced Injury Prevention: Training simulations, rehabilitation environments, immersive feedback systems;
- Occupational Injury Prevention Technologies: Real-time ergonomic monitoring, human–robot interaction safety;
- Sports Injury Prevention: Athlete monitoring systems, load analysis, fatigue detection;
- Integrated Multimodal Systems: AI + wearables + imaging + biomechanics for comprehensive injury assessment.
Dr. Xiaoxu Ji
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial intelligence
- motion analysis
- wearable sensors
- robotics
- injury prediction
- biomechanics
- ergonomics
- biomedical engineering
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