Deep Learning in Biomedical Signal Analysis
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Machine Learning and Artificial Intelligence in Diagnostics".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 37
Special Issue Editor
Interests: biomedical engineering
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue focuses on the application and advancements of deep learning techniques in the field of biomedical signal processing. With the explosive growth of biomedical data and the complexity of biological systems, traditional signal processing methods are often insufficient to extract meaningful insights from these data. Deep learning, as a powerful tool for automatic feature learning and pattern recognition, has demonstrated remarkable performance in analyzing biomedical signals such as electrocardiograms, electroencephalograms, and biosensor data. This Special Issue aims to showcase the latest research on how deep learning can be applied to address challenges in biomedical signal analysis, disease diagnosis, and patient monitoring. Contributions from various domains, including signal processing, machine learning, computer vision, and healthcare, will be welcome to explore the full potential of deep learning in transforming biomedical signal research.
Dr. Takahiro Emoto
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at mdpi.longhoe.net 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. Diagnostics 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
- deep learning
- biomedical signal processing
- pattern recognition
- disease diagnosis
- feature extraction
