Advanced Medical Technology for Human Movement and Neurorehabilitation
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Neuroscience and Neural Engineering".
Deadline for manuscript submissions: 31 January 2025 | Viewed by 558
Special Issue Editor
Interests: biomechanics; neuromechanics; sport biomechanics; motor development
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The field of advanced medical technology is witnessing transformative innovations, particularly in human movement and neurorehabilitation. These advancements are redefining therapeutic practices, improving patient outcomes, and expanding the boundaries of traditional rehabilitation methods. This Special Issue aims to explore the cutting-edge technologies and methodologies that are revolutionizing the way we approach human movement and neurorehabilitation.
The integration of advanced technologies such as robotics, virtual reality (VR), artificial intelligence (AI), and wearable devices is facilitating unprecedented levels of precision and customization in rehabilitation protocols. These technologies enable real-time monitoring and adaptation, offering personalized therapeutic interventions that cater to individual patient needs. Moreover, the use of neuroplasticity principles and biofeedback mechanisms is enhancing the efficacy of rehabilitation efforts, promoting faster and more sustainable recovery.
In the context of neurorehabilitation, innovations are driving significant improvements in the management and treatment of neurological disorders. Technologies such as brain–computer interfaces (BCIs), exoskeletons, and neurostimulation devices are empowering patients with conditions like stroke, spinal cord injuries, and traumatic brain injuries to regain functional independence. The integration of AI and machine learning algorithms is further enhancing diagnostic accuracy, prognostic assessments, and the development of adaptive rehabilitation strategies.
This Special Issue on "Advanced Medical Technology for Human Movement and Neurorehabilitation" invites submissions that delve into recent research, technological developments, and clinical applications in this dynamic field. We encourage contributions that provide insights into the challenges and opportunities associated with the adoption and implementation of advanced medical technologies in rehabilitation settings.
Dr. Arthur H. Dewolf
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 100 words) can be sent to the Editorial Office for announcement on this website.
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. Applied Sciences is an international peer-reviewed open access semimonthly 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
- biomechanics
- neurorehabilitation
- robotics in therapy
- advanced medical technology
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