Edge Computing for Biomedical Signal Processing

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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