Wearable Sensing of Medical Condition at Home Environment
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Wearables".
Deadline for manuscript submissions: 20 March 2025 | Viewed by 5579
Special Issue Editors
2. Department of Computer Science, Holon Institute of Technology, Holon 5810201, Israel
Interests: biomedical engineering; machine learning; neuroscience; digital signal processing; computational biology
Special Issues, Collections and Topics in MDPI journals
Interests: bioelectronics; bio- and chemosensors; nanopatterning; magnetic materials; advanced materials
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, wearable technology has become a major tool for the continuous assessment of patients’ medical condition in their home environment. This is enabled by recent technological advances in machine learning techniques, as well as seamless computationally efficient and miniature sensors with more reliable connectivity. Currently, there are growing efforts to adopt better wearable technology to enhance medical condition monitoring and assessment in home and community settings, design new sensors, tailor sensors with advanced machine learning techniques for advanced diagnostics, and to establish clinical decision-support infrastructure.
The goal of this Special Issue is to publish the most up-to-date research in the field of wearables to enable the monitoring and diagnostics of medical condition for the elderly, in particular to assess subject cognitive functionality and impairment over time in real-life environments while performing daily life activities. This includes brain signals, heart rate, respiratory rate, blood pressure, blood oxygen saturation, and recordings of neural and muscle activity.
This Special Issue covers advances in sensor data analysis technologies, sensor aggregation, medical decision-support systems, the development of comprehensive sensors, and medical wearable technology system design, with the goal of enabling the remote monitoring of individuals in home and community settings.
Dr. Gaddi Blumrosen
Dr. Amos Bardea
Guest Editors
Manuscript Submission Information
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Keywords
- wearable sensing
- home monitoring
- health monitoring
- healthcare
- sensor signal processing
- diagnostics
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