Novel Wearable Sensors and Digital Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Wearables".
Deadline for manuscript submissions: 10 May 2025 | Viewed by 2788
Special Issue Editors
Interests: wearable device; biomedical signal processing; biomedical system modeling and simulation
Special Issue Information
Dear Colleagues,
Wearable sensors are the fundamental technology enabling the continuous monitoring of vital signs, health data, physiological data, and even mental health. With the application and market growth of wearable devices, there are opportunities for sensors that can detect various parameters, including glucose levels, pressure, movement, and temperature. People are increasingly using wearable sensors to monitor their activity levels. The market is now expanding into more complex areas of health monitoring. The innovation of wearable sensor technology has expanded the range of biometrics that can be monitored, meeting the needs of remote patient monitoring; for example, inertial sensors, optical sensors, and biochemical sensors for monitoring vital signs, stress, sleep, and even brain activity. This enables easier access to health data and the further integration of sensors into augmented reality/virtual reality (AR/VR) devices, as well as their accessories, to achieve a more immersive user experience. The objective of this Special Issue is to generate discussions on the latest advances in the research on wearable sensors and digital applications. Topics of interest include, but are not limited to, the following:
- Wearable sensors.
- Wearable physiological function monitoring.
- Biomedical signal monitor.
- Biomedical telemonitoring.
- Personalized rehabilitation monitoring.
- Biomedical signal processing.
- Internet of things for biomedicine.
Prof. Dr. Hong Tang
Prof. Dr. Han Zhang
Guest Editors
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Keywords
- wearable sensors
- wearable physiological function monitoring
- biomedical signal monitor
- biomedical telemonitoring
- personalized rehabilitation monitoring
- biomedical signal processing
- Internet of things for biomedicine
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