Signal Processing and Machine Learning Approaches for Processing Biomedical Sensor Signals
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 30 June 2025 | Viewed by 1
Special Issue Editors
Interests: biomedical signal denoising; machine learning with applications in biomedical signal classification and regression; nonlinear dynamics with applications in EEG and ECG modeling
Special Issues, Collections and Topics in MDPI journals
Interests: neural networks; medical imaging; BCI applications and non-invasive bioinstrumentation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Biomedical sensor signals such as electrocardiograms, photoplethysmograms and electroencephalograms are always affected by noise, meaning that their signal quality is usually very poor. Existing works have focused on the development of denoising algorithms. At present, some advanced signal processing techniques such as wavelet-based denoising methods, empirical mode decomposition-based denoising methods, variational mode decomposition-based denoising methods and singular spectrum analysis-based denoising methods have been developed. In addition, some machine learning approaches such as deep learning approaches have also recently been developed to enable denoising. These techniques can further improve the signal-to-noise ratio of biomedical sensor signals. However, if the signal-to-noise ratio is too low, then the quality of the denoised signals will still be too low for further processing. Hence, some advanced signal processing and machine learning techniques are being developed for the screening of biomedical sensor signals. This call for papers aims to publish articles on novel signal processing and machine learning techniques used for both the denoising and signal screening of biomedical sensor signals.
Prof. Dr. Wing-Kuen Ling
Dr. Steve Ling
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. Sensors 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
- denoising
- signal screening
- signal processing
- machine learning
- biomedical sensor signals
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 polices can be found here.
