Advances in Biosignal Sensing and Signal Processing
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 20 September 2026 | Viewed by 2109
Special Issue Editor
2. Department of Management Science and Technology, Graduate School of Engineering, Tohoku University, Sendai 982-0002, Japan
Interests: biosignal processing; biological big data; physiological monitoring; autonomic nervous system; health promotion
Special Issue Information
Dear Colleagues,
Recent advancements in biosignal sensing technologies and signal processing methodologies have substantially expanded the scope of applications in healthcare, biomedical engineering, and human–machine interaction. This Special Issue is dedicated to disseminating high-quality, original research that addresses innovations in the acquisition, processing, and interpretation of physiological signals, including but not limited to electroencephalography (EEG), electrocardiography (ECG), electromyography (EMG), respiratory activity, and multimodal biometric measurements. Particular emphasis will be placed on studies presenting novel sensor architectures, wearable and implantable device designs, and advanced computational algorithms for feature extraction, pattern recognition, and classification. Topics of interest further include noise suppression, motion artifact mitigation, energy-efficient signal acquisition, and real-time analytical frameworks. Contributions integrating biosignal processing with emerging paradigms such as the Internet of Things (IoT), edge computing, and artificial intelligence are especially encouraged, as they hold potential for enabling adaptive and intelligent biomedical systems. Both theoretical developments and applied investigations—spanning simulation, experimental validation, and clinical implementation—are welcome. By bringing together interdisciplinary perspectives, this Special Issue aims to promote the exchange of knowledge, foster collaboration, and accelerate the translation of biosignal sensing and processing innovations into practical, real-world solutions.
Dr. Emi Yuda
Guest Editor
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 250 words) can be sent to the Editorial Office for assessment.
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
- biosignal sensing
- signal processing
- wearable devices
- physiological monitoring
- noise reduction
- machine learning
- multimodal biometrics
- edge computing
- Internet of Things (IoT)
- real-time 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.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
