Please use this identifier to cite or link to this item:
Title: Attention-Based Health Monitoring
Authors: Tsapatsoulis, Nicolas 
Theodosiou, Zenonas 
Keywords: Artificial Agents;Biosignals;Context-Awareness;Health Monitoring;Mobile Technologies
Category: Media and Communications
Field: Social Sciences
Issue Date: 2013
Publisher: International Journal of Monitoring and Surveillance Technologies Research
Source: International Journal of Monitoring and Surveillance Technologies Research (IJMSTR), 2013 Volume 1, Issue 3, pages 68-81
Abstract: 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.
ISSN: 2166-7241
DOI: 10.4018/ijmstr.2013070105
Rights: © International Journal of Monitoring and Surveillance Technologies Research (IJMSTR)
Type: Article
Appears in Collections:Άρθρα/Articles

Show full item record

Page view(s) 50

Last Week
Last month
checked on Jul 16, 2019

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.