(ISSN 2573-4407)
OBM Neurobiology is an international peer-reviewed Open Access journal published quarterly online by LIDSEN Publishing Inc. By design, the scope of OBM Neurobiology is broad, so as to reflect the multidisciplinary nature of the field of Neurobiology that interfaces biology with the fundamental and clinical neurosciences. As such, OBM Neurobiology embraces rigorous multidisciplinary investigations into the form and function of neurons and glia that make up the nervous system, either individually or in ensemble, in health or disease. OBM Neurobiology welcomes original contributions that employ a combination of molecular, cellular, systems and behavioral approaches to report novel neuroanatomical, neuropharmacological, neurophysiological and neurobehavioral findings related to the following aspects of the nervous system: Signal Transduction and Neurotransmission; Neural Circuits and Systems Neurobiology; Nervous System Development and Aging; Neurobiology of Nervous System Diseases (e.g., Developmental Brain Disorders; Neurodegenerative Disorders).
OBM Neurobiology publishes a variety of article types (Original Research, Review, Communication, Opinion, Comment, Conference Report, Technical Note, Book Review, etc.). Although the OBM Neurobiology Editorial Board encourages authors to be succinct, there is no restriction on the length of the papers. Authors should present their results in as much detail as possible, as reviewers are encouraged to emphasize scientific rigor and reproducibility.
Special Issue
Artificial Intelligence and Applied Biomechanics for Prosthetics, Human Movement Analysis, and Rehabilitation Technologies
Submission Deadline: June 30, 2027 (Open) Submit Now
Guest Editor
Luttfi A. Al-Haddad, PhD
College of Mechanical Engineering, University of Technology- Iraq, Baghdad, Iraq
Research Interests: UAVs; fault diagnosis; artificial intelligence; biomechanics
Co-Editors
Alaa Abdulhady Jaber, PhD
Professor, Mechanical Engineering, University of Technology- Iraq, Baghdad, Iraq
Research Interests: Condition monitoring; fault diagnosis; vibration analysis; artificial intelligence, robotics, and control
Sadeq Hussein Backhy, PhD
College of Biomedical Engineering, University of Technology- Iraq, Baghdad, Iraq
Research Interests: Prosthetics and orthotic devices; robotics; vibration control; structural vibrations; mechatronics applications; mechanical design; dynamic systems
About This Topic
This Special Issue focuses on the integration of artificial intelligence, applied biomechanics, signal processing, and rehabilitation technologies for advancing prosthetics, human movement analysis, and neuromotor assessment. Recent developments in machine learning, wearable sensors, electromyography, motion capture, computer vision, and biomechanical modeling have created new opportunities to understand human movement, improve assistive-device control, and support patient-specific rehabilitation strategies. The issue welcomes original research, reviews, technical notes, and methodological studies that address AI-driven movement recognition, prosthetic control, gait and posture assessment, rehabilitation robotics, neuromuscular signal analysis, and computational modeling of motor function. Particular emphasis is placed on approaches that enhance clinical decision-making, improve mobility and independence, and provide objective tools for monitoring recovery or functional impairment. By bringing together contributions from artificial intelligence, biomechanics, neuroscience, engineering, and rehabilitation science, this Special Issue aims to promote multidisciplinary solutions for next-generation neurorehabilitation and human-centered assistive technologies.
Keywords
Artificial intelligence; applied biomechanics; prosthetics; human movement analysis; rehabilitation technologies; signal processing; machine learning; neuromotor assessment; gait analysis; electromyography; wearable sensors; rehabilitation robotics; assistive technologies; neural engineering; movement recognition
Manuscript Submission Information
Manuscripts should be submitted through the LIDSEN Submission System. Detailed information on manuscript preparation and submission is available in the Instructions for Authors. All submitted articles will be thoroughly refereed through a single-blind peer-review process and will be processed following the Editorial Process and Quality Control policy. Upon acceptance, the article will be immediately published in a regular issue of the journal and will be listed together on the special issue website, with a label that the article belongs to the Special Issue. LIDSEN distributes articles under the Creative Commons Attribution (CC BY 4.0) License in an open-access model. The authors own the copyright to the article, and the article can be free to access, distribute, and reuse provided that the original work is correctly cited.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). Research articles and review articles are highly invited. Authors are encouraged to send the tentative title and abstract of the planned paper to the Editorial Office (neurobiology@lidsen.com) for record. If you have any questions, please do not hesitate to contact the Editorial Office.
Welcome your submission!
- Journal Metrics
-
2025 
CiteScore SJR SNIP 1.2 0.205 0.249 - Newsletter