Intelligent Measurements and Interpretation of Wireless Systems for Continuous Vital Sign Monitoring
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 25 December 2025 | Viewed by 1977
Special Issue Editor
2. Department of Clinical Medicine, University of Copenhagen, DK-2100 Copenhagen, Denmark
Interests: remote automated continuous wireless monitoring; large multicentre randomized clinical trials; anaesthesiology and perioperative care; oxygen therapy; postoperative cardiopulmonary complications
Special Issue Information
Dear colleagues,
Monitoring vital signs using continuous and wireless sensors is an area that is gaining traction, and reports indicate that such sensors and systems possess a high sensitivity for detecting important deviations in vital signs. This includes hospitalized patients that are not in ICU or other high-dependency units, and the monitoring of vital signs may continue after hospital discharge. The overall aim of vital sign monitoring is to increase patient safety and reduce complications and readmissions, but significant numbers of alarms arise as a result of this increased monitoring. Analyses of how to interpret the board data streams of vital signs are therefore key to the implementation of these new technologies. Furthermore, modalities other than the traditional vital signs (blood pressure, oxygen saturation, etc.) such as blood glucose, lactate, etc., may provide even better continuous predictions of upcoming complications.
This Special Issue calls for research articles covering, but not limited to, clinical investigations of patient data in or out of hospital with the aim of describing vital sign deviations in specific settings; describing algorithms for vital sign interpretation; validating new vital sign sensors; validating the clinical impact of using continuous vital sign sensors; and addressing the existing literature on the subject.
Prof. Dr. Christian Sylvest Meyhoff
Guest Editor
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Keywords
- continuous monitoring
- vital signs
- biosensors
- complications
- artificial intelligence
- alert reduction
- clinical support systems
- in-hospital monitoring
- hospital at home
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