Biomedical Signal Processing and Machine Learning Techniques
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Biomedical Engineering".
Deadline for manuscript submissions: 20 July 2025 | Viewed by 142
Special Issue Editors
Interests: time–frequency analysis; biomedical signal processing; applied statistical signal processing; digital signal processing; IoT
Special Issues, Collections and Topics in MDPI journals
Interests: signal processing and analysis; biomedical signal processing; video surveillance; ANN
Interests: transcranial magnetic stimulation; intraoperative neurophysiologic monitoring (IONM) and mapping; brain mapping; neurophysiology of neurological disorders; speech and language pathologies; cognition
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Advancements in machine learning (ML) have enabled the use of these techniques in processing and analyzing biomedical signals. Hence, cutting-edge applications/algorithms based on linear and logistic regression, decision trees, support vector machines, k-means, and KNN, random forest, and Bayesian algorithms, among others, require multidisciplinary approaches with the joint participation of engineering and medical experts, researching and developing smart systems with medically satisfactory performances in healthcare, clinical, and research applications. The application of biomedical signal processing and analysis contributes to the development and reliability of diagnostics and/or further enhances our understanding of “human systems”. In summary, modern machine learning-based devices contribute to understanding human system functioning and improving the quality of life. For instance, muscle or speech impairments, diseases, or abnormal conditions, to name a few, adversely impact daily life and can have a significant social and economic impact on society. In this respect, advanced signal processing based on ML techniques could assists the day-to-day communication/activities of patients with impairments or diseases. The main topics of this Special Issue include, but are not limited to, the following:
- Biomedical signal acquisition, filtering, and processing;
- Biomedical signal analysis with ML techniques;
- Core algorithms based on ML methodology for medical aid.
Dr. Joško Šoda
Prof. Dr. Igor Vujović
Dr. Maja Rogić Vidaković
Dr. Hrvoje Dodig
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
- machine and deep learning
- biomedical signal processing
- filter design
- artificial neural network (ANN)
- medical imaging
- applied signal processing
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.
