AI-Based Biomedical Signal Processing—2nd Edition
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Biomedical Engineering".
Deadline for manuscript submissions: 31 August 2025 | Viewed by 152
Special Issue Editors
Interests: bioengineering; biomedical signal processing; biostatistics; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: brain computer interfacing; electrophysiological signal processing, analysis and classification; motor movement and imagery
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) is inspiring new solutions to challenges typically present in the healthcare field. AI-based innovative tools have revealed their effectiveness in different steps of the biomedical signal processing blockchain, including biomedical signal (i) acquisition, (ii) preprocessing, (iii) feature engineering and (iv) classification/interpretation. AI-based methods may find solutions to biomedical signal processing challenges by integrating sensors and acquisition systems. Moreover, they can represent new approaches to preprocess, characterize, classify, and interpret biomedical signals. These solutions may be essential in all fields of healthcare, including cardiology, neurology, endocrinology, movement analysis, physical activity monitoring, assistive robotics, telemedicine, and others.
This Special Issue aims to collect original research papers and/or reviews on AI-based methods for biomedical signal processing.
Main topics include, but are not limited to, the following:
- Intelligent sensors, devices and instruments for biomedical signal acquisition;
- AI-based biomedical signal preprocessing;
- Machine learning for biomedical feature extraction and selection;
- Knowledge engineering for feature interpretation;
- AI-based clinical decision making in healthcare;
- AI-based precision medicine;
- Data analytics and mining for clinical decision support;
- Ethics of AI in healthcare.
Dr. Agnese Sbrollini
Dr. Aurora Saibene
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
- artificial intelligence
- biomedical signal processing
- filtering and denoising
- machine and deep learning
- clinical decision-support systems
- cognitive computing
- computer vision
- interpretability
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.
Related Special Issue
- AI-Based Biomedical Signal Processing in Applied Sciences (14 articles)
