Edge Computing for Biomedical Signal Processing
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (1 December 2019) | Viewed by 9713
Special Issue Editors
Interests: biomedical engineering; neuromorphic engineering; mixed-signal integrated circuit design; medical devices; machine learning; circuits and systems for implantable and wearable biomedical devices
Special Issues, Collections and Topics in MDPI journals
Interests: biomedical signal processing; wearable and electrode-less physiological monitoring; brain–computer interface; biomedical engineering
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recently, Edge Computing—that is, processing data close to where it is collected rather than on the cloud—has become an important way to deal with the ever-increasing volume of user-generated data. This new paradigm in signal processing comes with many challenges in terms of reducing complexity and processing time while maintaining accuracy and specificity.
In this Issue, we will explore the issues of biomedical signal processing at the edge and seek contributions addressing, though not limited to, the following topics:
- Biomedical signal processing schemes implemented on wearable or implantable medical devices;
- Machine learning techniques for biomedical devices;
- Data security for edge computing;
- Hardware-aware algorithms; and
- Unsupervised learning for personalized medicine.
Prof. Tara Julia Hamilton
Dr. Gaetano D. Gargiulo
Guest Editors
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Keywords
- edge computing
- biomedical signal processing
- intelligent devices
- wearable and implantable medical devices
- personalized medicine
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