Advances in Biomedical Signal and Image Processing
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: 20 January 2026 | Viewed by 36
Special Issue Editors
Interests: medical signal processing; wavelets; electrocardiograms; magnetocardiograms; medical imaging; CT-scans; ultrasound images; image enhancement techniques
Interests: brain; image classification; medical image processing; positron emission tomography; biomedical MRI; dementia; computerizedtomography; CNN; RNN; transformer; large language model; generative AI; multimodal data
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Special Issue Information
Dear Colleagues,
Medicine is facing a new era in signal processing techniques that are generating a broad range of real-world applications using biomedical signals and images to analyze medical phenomena and develop algorithms that help us to understand effects and recognize patterns. Thus, algorithms are used to synthetise data and enable us to perceive them in a way that had not been possible through direct observation alone. The automatic analysis of ECGs, MCGs, EMGs, CTs, or ultrasound images helps us to make medical decisions with real impacts on human health.
This Special Issue focuses on the development and testing of novel algorithms and approaches, as well as the verification and validation of existing methods, using advanced tools such as artificial intelligence, artificial neural networks, data mining techniques, and wavelets.
We invite submissions that seek to improve diagnosis quality, develop algorithms to analyze impacts on human health, and suggest corrections where necessary. For example, filtering a signal affected by noise; correcting the side effects of limited light conditions; improving the visibility and contrast of a medical image; compressing a signal to optimize data storage and enabling its remote transmission for telemedicine, e-health, or portable devices; enhancing feature extraction for computer-aided diagnosis; exploring motion analysis and recognition; designing human–computer interfaces with biosignals; and offering computing solutions for automatic treatment with the aid of artificial intelligence.
Dr. Beatrice Arvinti
Prof. Dr. Do-Young Kang
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
- wavelet algorithms
- adaptive and non-linear signal processing
- machine learning and deep learning
- AI in medicine
- telemedicine and e-health
- health effects of artificial light
- signal analysis
- feature extraction
- statistical signal processing
- image processing
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