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EMG Sensors and Signal Processing Technologies
This special issue belongs to the section “Biomedical Sensors“.
Special Issue Information
Dear Colleagues,
There has recently been rapid technological progress in EMG sensor and measurement technology, as well as in the development of advanced signal processing methods. Most notably, the development and deployment of high-density EMG sensors and recording systems, and the application of deep learning and artificial intelligence (AI) methods have underpinned advances in EMG-based force prediction, understanding neural control of movement, neurorehabilitation research, and the use of EMG in clinical applications.
We invite original research and review article on the use of advanced EMG sensing technologies and processing techniques to expand our understanding of muscle function and for clinical and nonclinical applications for submission to this Special Issue.
Potential topics include but are not limited to:
- EMG-based force and movement estimation
- EMG in myoelectric control
- EMG in gait analysis
- EMG quality analysis
- Muscle synergy analysis and applications
- Pelvic floor muscle EMG and applications
- EMG in neurorehabilitation
- EMG in biomechanics
- EMG in ergonomics
Prof. Dr. Evelyn Morin
Prof. Dr. Usha Kuruganti
Prof. Dr. Adrian Chan
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 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. Sensors 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 2600 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
- high-density EMG
- EMG-based force modelling
- myoelectric control
- muscle synergy
- gait analysis
- EMG quality analysis
- neural control
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