Sensors toward Unobtrusive Health Monitoring
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: closed (1 August 2021) | Viewed by 930
Special Issue Editors
Interests: accident and emergency informatics; continuous health monitoring; smart car; smart home; biomedical image and signal processing
Special Issues, Collections and Topics in MDPI journals
Interests: biomedical sensors and signals; sensors in medical devices and IVDs; medical device regulation & safety
Special Issues, Collections and Topics in MDPI journals
Interests: physiological measurement techniques; personal health care systems and feedback control systems in medicine
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Currently, medicine, diagnostics, and health systems are changing worldwide. A few years ago, physicians performed a medical assessment or diagnostics only when symptoms had already occurred and only in their professional locations (residency or hospital). Driven by devices for sports and wellbeing, continuous behavioral monitoring has been established and is currently transforming to medical monitoring of vital signs and other individual health parameters. The disadvantage of behavioral monitoring devices is that you need to wear or carry them. In future, private environments such as cars or homes will support continuous health monitoring with rather unobtrusive sensors. The changing paradigm aims at predicting adverse health events in order to take actions to prevent them. Therefore, a lot of research is carried out in this field. We particularly focus this Special Issue on the following topics (if you are not sure, please get in contact with the Guest Editor):
• Sensors for mobile and unobtrusive, continuous health monitoring;
• Indirect sensors combining artificial intelligence;
• Calibration and accuracy assessment of sensors;
• Data management for continuously sensing devices;
• Combination of behavioral, medical, and environmental sensors or sensor data;
• Medical applications of continuous sensing.
Prof. Thomas Deserno
Guest Editor
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