Application of Wearable Technologies in Smart Health
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: closed (20 October 2023)
Special Issue Editors
Interests: wearable devices such as accelerometers, electrocardiograms, photoplethysmograms, and electrodermal activity sensors to monitor and understand human physiology in uncomfortable or challenging environments
Special Issues, Collections and Topics in MDPI journals
Interests: biomedical signal processing; wearable devices; machine learning; physiological monitoring; digital health; arrhythmia
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Wearable technologies comprise a key component of health care, offering a range of benefits such as convineice, cost-effectiveness, efficiency, and many more. These benefits apply not only to diagnostic applications but also to therapy, rehabilitation, and fitness. For instance, the ability to continuously monitor patients in real-time can provide medical professionals with physiosignal data in patents’ homes, allowing for the early detection of potential health issues and timely intervention where need arises. Wearable devices can also provide patients with personalized feedback on their rehabilitation, health, and fitness, including vital sign tracking and emotion quantification.
The objective of this Special Issue is to cover all the latest outstanding and innovative development and/or uses of wearable technologies in healthcare and biomedical fields. We encourage submissions from research groups with expertise in advanced wearable data and signal processing, artificial intelligence in wearable systems, the development and implementation of wearable applications, and any other topics related to wearable technolgoies in healthcare and biomedical fileds.
Dr. Youngsun Kong
Dr. Syed Khairul Bashar
Guest Editors
Manuscript Submission Information
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Keywords
- Wearable device
- Mobile health
- Home monitoring
- Wearable signal processing
- Machine learning
- Rehabilitation
- Fitness
- Smart devices
- Smartphones
- Smartwatches
- Artificial intelligence
- Vital sign monitoring
- Body sensor network.
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