Low-Back Pain: Assessment and Rehabilitation Research
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biomedical Engineering and Biomaterials".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 1537
Special Issue Editors
Interests: pain medicine; pain assessment; pain management
Special Issues, Collections and Topics in MDPI journals
Interests: rehabilitation; sport medicine; musculoskeletal pain; osteoarthritis; paralympics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Low-back pain (LBP) remains one of the most prevalent and disabling musculoskeletal conditions globally, contributing significantly to years lived with disability and imposing a substantial socioeconomic burden. Despite extensive research, the complexity of its pathophysiology, ranging from mechanical and neurogenic factors to psychosocial influences, continues to challenge both diagnostic accuracy and treatment efficacy. In recent years, advances in bioengineering have opened new avenues for the assessment and rehabilitation of LBP, including wearable technologies, sensor-based functional assessments, computational modeling, and neuromechanical interventions.
This Special Issue of Bioengineering aims to bring together original research articles, systematic reviews, and methodological advances focusing on innovative tools, technologies, and approaches for evaluating and rehabilitating LBP patients. Emphasis is placed on the integration of biomechanical analysis, imaging, machine learning algorithms, and assistive devices into clinical practice. Submissions exploring translational research and interdisciplinary strategies that enhance diagnostic precision, personalize rehabilitation protocols, or improve patient outcomes are especially encouraged.
By fostering collaboration across engineering, clinical, and rehabilitation sciences, this Special Issue seeks to promote a comprehensive understanding of LBP and support the development of evidence-based, technology-driven solutions for its management. Researchers, clinicians, and innovators are invited to contribute to this evolving field.
We look forward to receiving your contributions.
Prof. Dr. Giustino Varrassi
Dr. Giacomo Farì
Guest Editors
Manuscript Submission Information
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Keywords
- chronic pain
- wearable technologies
- computational modeling
- biomechanical analysis
- assistive devices
- sensor-based functional assessments
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