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 151
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
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Keywords
- biosignal sensing
- signal processing
- wearable devices
- physiological monitoring
- noise reduction
- machine learning
- multimodal biometrics
- edge computing
- Internet of Things (IoT)
- real-time processing
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