Special Issue "Sensors and Analytics for Precision Medicine"
Deadline for manuscript submissions: closed (15 November 2017)
Dr. Wendong Xiao
School of Automation and Electrical Engineering, University of Science and Technology Beijing, 30 Xueyuan Road, Haidian District, Beijing 100083, China
Website | E-Mail
Interests: wireless localization and tracking; energy harvesting based network resource management; distributed machine learning for big data; wireless sensor networks; internet of things
There are no proven means of prevention or effective treatment for so many diseases, and insights into the biological, environmental, and behavioural influences on these diseases should be gained for better understanding of these diseases. Precision medicine is an emerging approach to disease treatment and prevention, which takes into account individual variability in genes, environment, and lifestyle for each person and tailors medical decisions, practices, and/or products to the individual patient.
Sensor technologies from motion and vital sign sensing, to environmental, behavioural and context monitoring have shown great potential for healthcare. In combination with recent advances in big data analytics for life sciences, healthcare and genomics, sensors can further improve healthcare by moving towards one-off prevention and treatment plans. Replacing state-of-the-art, one-fits-all approaches, personalized prevention and treatment is often employed for selecting appropriate and optimal therapies based on the context of a patient’s genetic content or other environmental and behavioural analysis.
The purpose of this Special Issue is to invite novel contributions that couple sensor design, integration with signal processing and data analytics to acquire and interpret sensor data continuously from spot measurements. Topics of the special issue include, but are not limited to:
- Novel sensor design and smart embodiment for pervasive healthcare;
- New platforms for self-tracking or measurement of physical activity, sleep quality, emotion, gait, kinematics, kinetics and other factors related to personal well-being;
- Information processing for localization and tracking for healthcare applications
- Resource constrained network information processing for healthcare applications
- Sensor data analytics, information integration, pattern mining/recognition, behaviour profiling, data visualisation and user feedback related to personal well-being;
- Sensor fusion in health systems for improved clinical diagnosis and decision making;
- Big data analytics for improving management of healthcare to enhance efficiency, effectiveness and equity;
- High throughput data analytics in genome, transcriptome, proteome, metabolome and/or lipidome for sensing and modelling multiple-level biological and physiological systems;
- Mobile/wearable sensor-based/remote health monitoring systems, with illustrative case studies on use of innovative information processing approaches.
- Disease focused exemplars and case studies (e.g. neurological disorders, cardiovascular diseases, diabetes and obesity, neuro-rehabilitation);
Dr. Wendong Xiao,
Dr. Zhiqiang Zhang,
Dr. Le Zhang
Manuscript Submission Information
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