Intelligent Sensing and Computing for Biomedical Signal Processing and Analysis
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 25 December 2026 | Viewed by 832
Editors
Interests: artificial intelligence; medical image processing
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; deep learning; hyperspectral imaging and applications
Interests: artificial intelligence; medical image processing
Special Issue Information
Dear Colleagues,
Recent years have witnessed rapid advancements in intelligent sensing and computing for biomedical signal processing and analysis, driven by the integration of artificial intelligence with modern signal processing, data-driven modeling, and healthcare technologies. These developments have significantly enhanced the acquisition, representation, and interpretation of complex biomedical data, encompassing physiological signals, medical imaging data, and heterogeneous multimodal clinical information. Such progress has enabled transformative applications in areas such as disease diagnosis, health monitoring, brain–computer interfaces, and personalized medicine. Nevertheless, challenges such as noise interference, limited labeled data, inter-subject variability, and the need for real-time and reliable analysis continue to hinder the effectiveness of conventional approaches, underscoring the necessity for more robust, adaptive, and intelligent computational frameworks.
This Special Issue is organized in conjunction with CISP-BMEI 2026 (http://www.cisp-bmei.cn/), a premier international congress that brings together the communities of image and signal processing (CISP) and biomedical engineering and informatics (BMEI), fostering interdisciplinary exchange and collaboration. Building upon the vibrant discussions and innovative research presented at CISP-BMEI 2026, this Special Issue aims to disseminate state-of-the-art advances in intelligent sensing and computing for biomedical signal processing and analysis, as well as provide an open forum for researchers and practitioners to share novel algorithms, system designs, and real-world applications that advance both theoretical insights and practical impact.
We welcome contributions addressing theoretical foundations, innovative methodologies, and practical applications in this interdisciplinary field. Topics of interest include, but are not limited to, the following:
- Intelligent sensing technologies for biomedical signal acquisition;
- Deep learning for biomedical signal processing and analysis;
- Biomedical signal-based disease diagnosis and prediction.
Dr. Zhe Liu
Dr. Jiansheng Wang
Dr. Jun Chen
Dr. Kai Han
Guest Editors
Manuscript Submission Information
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Keywords
- intelligent sensing
- biomedical signal processing
- artificial intelligence
- deep learning
- medical image processing
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