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Feature Papers in Advanced Computational Technologies for Biosignal Processing
This special issue belongs to the section “Biosignal Processing“.
Special Issue Information
Dear Colleagues,
Biosignal processing comprises an interdisciplinary field involving the acquisition, analysis, and interpretation of biological signals that originate from physiological mechanisms. It has become increasingly important in modern medicine and bioengineering, with applications ranging from use in diagnostics and therapeutic interventions to the development of prosthetic devices and brain–computer interfaces. The perspective of biosignal processing involves a deep understanding of the underlying physiological mechanisms that produce the signals, as well as advanced signal processing techniques that can extract useful information from noisy and complex signals. This field is poised to play an important role in advancing our understanding of the human body and developing new technologies that can improve human health and quality of life.
The aim of this Topical Collection, entitled “Feature Papers in Advanced Computational Technologies for Biosignal Processing”, is to collect high-quality research articles, short communications, and review articles in the fields of computational biosignal processing. We welcome scholars and engineers from academia and industry all around the world to contribute papers to highlight the scientific discoveries and cutting-edge technologies in this field.
Potential topics include, but are not limited to:
- electrophysiological signal (ECG, EEG, EMG, MEG) processing
- AI and machine learning for biomedical data analysis
- medical imaging and image analysis
- wearable sensor network and integration
- biodata mining
- computational methods and programs in biomedicine
- digital twins in healthcare
- simulation and modeling of physiological mechanisms
- biomedical speech and acoustic signal analysis
- computational biomechanics
Dr. Yunfeng Wu
Dr. Shi Qiu
Dr. Behnaz Ghoraani
Collection 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. Bioengineering is an international peer-reviewed open access monthly 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 2700 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
- electrophysiological signal (ECG, EEG, EMG, MEG) processing
- AI and machine learning for biomedical data analysis
- medical imaging and image analysis
- wearable sensor network and integration
- biodata mining
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