Research Article
Situation-Aware Mobile Health Monitoring
@INPROCEEDINGS{10.4108/icst.mobiquitous.2014.257974, author={Pari Delir Haghighi and Averi Perera and Maria Indrawan-Santiago and Tuan Minh Huynh}, title={Situation-Aware Mobile Health Monitoring}, proceedings={11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services}, publisher={ICST}, proceedings_a={MOBIQUITOUS}, year={2014}, month={11}, keywords={situation-aware computing data fusion mobile healthcare activity recognition energy management}, doi={10.4108/icst.mobiquitous.2014.257974} }- Pari Delir Haghighi
Averi Perera
Maria Indrawan-Santiago
Tuan Minh Huynh
Year: 2014
Situation-Aware Mobile Health Monitoring
MOBIQUITOUS
ICST
DOI: 10.4108/icst.mobiquitous.2014.257974
Abstract
Recent advances in mobile computing coupled with the widespread availability of inexpensive mobile devices are the key motivating factors for the development of mobile health monitoring systems. However, to leverage the full potential of such systems for continuous and real time monitoring, there are a number of challenges that need to be addressed. This paper proposes a situation-aware mobile health monitoring framework that aims to increase not only the accuracy in identifying the occurring health conditions but also the cost-efficiency of running algorithms (e.g. the activity recognition classifier) using a situation-aware adaptation technique. The proposed framework integrates high level knowledge (i.e. user activity) with low level sensory data (e.g. heart rate) in situation reasoning and data fusion. Such holistic situational information can significantly improve accuracy of clinical decision making and self-management of chronic diseases. The implementation and evaluation of the framework for a health monitoring application is described.
