Real-Time Monitoring of Individual Living Organisms
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Environmental Sensing".
Deadline for manuscript submissions: 15 December 2025
Special Issue Editors
2. Department of Biosystems, Division Animal and Human Health Engineering, M3-BIORES: Measure, Model & Manage Bioresponses Laboratory, KU Leuven, Kasteelpark Arenberg 30, 3001 Heverlee, Belgium
Interests: real-time monitoring; m-health; wearables; mental health monitoring
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Most current sensors and algorithms have been developed, evaluated, and validated by using the average of a population of humans or animals. However, living organisms are “individually different”; they do not behave, act, or respond like the theoretical average of a population. One of the most individual systems on earth is the immune system of each individual living organism.
This becomes even more interesting when noticing that living organisms are not only individually different, but that they are also “time-varying systems”. This means that a physical or mental response to the same internal or environmental event can vary in time. That is why, for example, our immune system is continuously updating in real-time to detect pathogens and act accordingly.
The focus of this Issue is to exhibit concepts, methods, exciting examples of technologies, algorithms and solutions that use real-time monitoring of individual living organisms. The technique is not only more accurate but allows us to offer predictions, early warnings, fast detections and prediction-based controls, as in, for example, individualized medication, trainings, and treatments. By describing solutions and showing their advantages compared to normal population-based or time average-based approaches, the power of this approach can be demonstrated. Knowing that living organisms are complex, individually different, time-varying, and dynamic, we can call them “C.I.T.D.-systems”. Further, modern hard- and software technology offers opportunities to monitor these systems in real time by using a systems approach. In terms of monitoring, prediction, prevention and early warning, this approach has the potential to change the lives of many humans and animals.
Prof. Dr. Daniel Berckmans
Dr. Alberto Peña Fernández
Guest Editors
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Keywords
- individualized algorithms
- real-time monitoring
- continuous health monitoring
- measuring mental state
- infection monitoring
- early warnings
- using objectively measured biological variables
- prediction-based controls
- personalized medication
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