Data Processing in Biomedical Devices and Sensors
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Biomedical Engineering".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 1008
Special Issue Editor
2. Center for Data-driven Science and Artificial Intelligence Tohoku University, Sendai 980-8579, Japan
Interests: bio-signal processing; big data analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent advances in biomedical sensors and wearable devices have significantly enhanced the ability to monitor and assess human physiological and behavioral states in real-time. However, raw biomedical signals are often affected by various noise sources, motion artifacts, and individual variability, making accurate and meaningful interpretation a challenge. This Special Issue focuses on innovative data processing techniques—including signal denoising, feature extraction, machine learning, and real-time analytics—that enhance the performance and reliability of biomedical devices. We welcome original research and review papers that contribute to the development of robust algorithms, efficient signal processing methods, and integrated systems for clinical and home healthcare applications.
Dr. Emi Yuda
Guest Editor
Manuscript Submission Information
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Keywords
- biomedical signal processing
- wearable sensors
- noise reduction
- feature extraction
- machine learning
- real-time monitoring
- physiological signal analysis
- healthcare technologies
- sensor fusion
- biomedical devices
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