Long-Term Biological Signals and Sensors
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: closed (25 October 2022) | Viewed by 11602
Special Issue Editors
Interests: biological signals and systems
Interests: physiological signal processing; machine learning
Special Issue Information
Dear Colleagues,
Emerging wearable smart devices are applied to various vital healthcare applications such as physiological signal monitoring, therapeutic and drug delivery systems. The advances in wearable sensors have enabled long-term healthcare monitoring in home or hospital environments with recording vital physiological parameters. In particular, the long-term monitoring of the physiological parameters is a key for diagnosis of health conditions such as cardiovascular disease, diabetes, functional movement disorder, sleep deprivation, circadian rhythm disorders, etc. The long-term recording enlarges the size of the physiological dataset, and thus design and development of an appropriate data analytics on those big dataset is crucial to improve the performance of the long-term healthcare monitoring systems.
This Special Issue encourages authors, from academia and industry, to submit new research results about technological innovations and novel applications of wearable sensors and their data analytics for long-term healthcare monitoring systems. The Special Issue topics include, but are not limited to:
The topics of interest for this issue include:
- Wearable sensors
- Sensing technologies
- Measurement of physiological parameters
- Autonomous wearable sensors
- Textile-based wearable sensors
- Printed electronics
- Wearable IoT based systems
- Health care wearable sensing
- Circadian rhythm disorders
- Functional movement disorder
- Long-term cardiovascular disease monitoring
- Big data handling in physiological data analysis
- Artificial Intelligence algorithms
- Machine Learning
- Deep Learning
Prof. Kwang Suk Park
Prof. Cheol-Soo Park
Prof. Seung Min Lee
Guest Editors
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