Forward models for physiological motor control
Neural Networks - 1996 Special issue: four major hypotheses in neuroscience
Understanding and Using Context
Personal and Ubiquitous Computing
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Working Set Selection Using Second Order Information for Training Support Vector Machines
The Journal of Machine Learning Research
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
A survey on context-aware systems
International Journal of Ad Hoc and Ubiquitous Computing
Towards an application framework for context-aware m-health applications
International Journal of Internet Protocol Technology
A context gathering framework for context-aware mobile solutions
Mobility '07 Proceedings of the 4th international conference on mobile technology, applications, and systems and the 1st international symposium on Computer human interaction in mobile technology
Context-aware systems: A literature review and classification
Expert Systems with Applications: An International Journal
The Enterprise Mobile Applications Development Framework
IT Professional
Implementation of compressed sensing in telecardiology sensor networks
International Journal of Telemedicine and Applications - Special issue on healthcare applications and services in converged networking environments
Status and trends of mobile-health applications for iOS devices: A developer's perspective
Journal of Systems and Software
IEEE Transactions on Information Theory
Automatic foveation for video compression using a neurobiological model of visual attention
IEEE Transactions on Image Processing
Review: Mobile guides: Taxonomy of architectures, context awareness, technologies and applications
Journal of Network and Computer Applications
| Hi-index | 0.00 |
The application of mobile technologies for health monitoring has garnered great attention during the last years. The sensors together with a mobile device form a personal area network that monitors the patient's health status. It gives advice to the patient, adjusts the environmental conditions according to the patient's needs, and in the case of an emergency, notifies the patient's doctor or the corresponding medical center. In the current work the authors present a new attention-based architecture for health monitoring emphasizing on the identification of attention seeking and dangerous health states. The experimental results indicate that the proposed architecture responses very fast to the changes of the patient's biosignals and accurately in decisions concerning the patient's health status.