Advanced Bio-Signal Processing for Health Monitoring

Dear Colleagues,

In recent years, physiological monitoring has truly branched out from hospital/clinical settings to become an interdisciplinary field, merging advances in engineering, chemistry, biology, medicine and data analytics for the creation of sensors to continuously track vitals reliably and precisely. In principle these developments enable more personalized and preventive healthcare, particularly as wearable (bio)sensors can detect subtle physiological changes in real time. However, the amount of data collected is not fully exploited and synchronized with the necessary reliability of a clinical setting. With the Special Issue 'Advanced Bio-Signal Processing for Health Monitoring', we seek to showcase recent advancements in 'at-the edge' (bio)signal processing, including (but not limited to) data reduction and classifications, fiducial point extractions (i.e., topical electrocardiography and plethysmography waveform detection) as well as cutting-edge sensor technologies focusing on applications for health and performance monitoring that may include machine learning as well as bio-inspired (biomimicry) signal processing.

Topics of interest for publication include, but are not limited to, the following:

• Multimodal bio(sensing);
• Fall detection;
• Human–computer interfaces;
• Human performances augmentations;
• Advanced rehabilitation devices and smart prostheses;
• Bio-inspired biomedical signal processing;
• At-the-edge signal processing;
• Biomedical signal classification;
• AI medical diagnose.

Prof. Dr. Gaetano D. Gargiulo
Dr. Upul Gunawardana
Guest Editors

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