Recent Advances in Biomechanics of Human Movement and Its Clinical Applications: 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: 30 September 2024 | Viewed by 66

Special Issue Editors


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Guest Editor
Department of Orthopedic and Trauma Surgery, University of Dundee, Dundee DD1 9SY, UK
Interests: biomechanics; motion medicine; musculoskeletal modelling; computer simulation; gait analysis; electromyograph; artificial intelligence; clinical application
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Guest Editor
Medical College, Tianjin University, Tianjin 300072, China
Interests: neural engineering; rehabilitation engineering; biomedical instrumentation, and signal/image processing; brain–computer interface; functional electrical stimulation; gait analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the development of motion capture technology, computer modeling, and bioinformation, biomechanics has achieved both academic and theoretical milestones, as well as having been involved in the advancement of useful tools for clinical assessment and treatment. However, these results are far from being applicable to clinical practice. This welcomes new challenges for researchers: (1) how to build a bridge between theoretical achievements and practical applications, (2) how to develop stronger means for clinical practice, (3) what could be suitable for clinical practice, etc. Therefore, this Special Issue aims to present innovative ideas and experimental results in the field of biomechanics alongside their applications to clinical practice; in other words, it will bring ideas, tools, and theory into practical use.

Areas relevant to this Special Issue include, but are not limited to, theoretical analyses of biomechanics with clinical cases, data-intensive applications, novel algorithms and applications, computational science, artificial intelligence, machine learning, deep learning, wearable sensor application, medical instruments, and other interesting and useful topics.

This Special Issue will publish high-quality, original research papers emphasizing clinical application in the following areas:

  • Biomechanics;
  • Motion medicine;
  • Artificial intelligence, machine learning, and deep learning;
  • Computational modeling;
  • Instrumentation;
  • Motion pattern recognition;
  • Bio-force measurement and analysis;
  • Bio-signal measurement and analysis;
  • Bio-image measurement and analysis.

Dr. Weijie Wang
Prof. Dr. Dong Ming
Guest Editors

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

  • gait
  • artificial intelligence
  • machine learning and deep learning
  • electromyograph (EMG)
  • electroencephalogram (EEG)
  • strength
  • rehabilitation
  • physiotherapy
  • stroke
  • cerebral palsy
  • motion capture
  • sensor
  • joint and bone
  • muscle
  • artificial implant
  • algorithms

Published Papers

This special issue is now open for submission.
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