Wearable Sensing Technologies for Human Physiological Variations
1Loughborough University, Loughborough, UK
2Fudan University, Shanghai, China
3University of Shanghai for Science and Technology, Shanghai, China
Wearable Sensing Technologies for Human Physiological Variations
Description
Sensing technologies have been increasingly integrated into wearable devices for critical physiological monitoring and assessment related to chronic diseases or the training performance of athletes.
Despite the exponential growth in wearable sensing technologies, there are still many limitations of present smart wearable devices impeding the wide adoption of various technologies, such as sensing precision, functionality, wearability, durability, and power supply. One of the crucial challenges in this type of application is the interaction of sensing technologies with sophisticated electronics, effective executive software, human body, and associated effective communication to deliver multi-functionality and high performance real-time physiological monitoring and assessment. With the advance of mHealth, we need to develop robust and reliable wearable sensing technologies to look after individuals that can provide an earlier indication of pathophysiological alterations, which could prompt earlier, targeted, and personalized healthcare. J Sensors is an international, peer-reviewed, open access journal that focuses on all aspects of sensors, from their theory and design to the applications of complete sensing devices.
This Special Issue will focus on publishing original research and reviews on wearable devices that may be used to reveal human physiological variations from routine to physical activity.
Potential topics include but are not limited to the following:
- Novel sensor design and platform development
- Textile sensors and screen-printing
- Electronic skins
- Non-invasive diagnostics with optoelectronic sensors
- Multi-sensor integration
- Flexible and stretchable sensors
- Position and gesture indenisation systems, algorithms, and techniques
- Energy harvesting from human motion
- Wireless power transfer
- Measurement of physiological parameters
- Artificial Intelligence and edge computing algorithms