Name
Abstract | ||
|---|---|---|
Context Management Framework (CMF) for Ubiquitous Health (U-Health) Systems should be able to continuously gather raw data from observed entities to characterize their current situation (context). However, the death of battery-dependent sensors reduce their ability for detecting the context, which directly affects the availability of context-aware u-health services. This paper proposes the use of Quality of Context (QoC) integrated with a data reduction approach to minimize the amount of sensed raw data sent to CMF, reducing the energy consumption and maximizing the lifetime of sensor-based CMF. The proposed approach rebuilds the gathered raw data taking into account QoC requirements, avoiding the loss of precision (QoC Indicator precision) and timeliness (QoC Indicator up-to-dateness), which has been integrated into our Context Management Framework (CxtMF). Experimental results demonstrate the effectiveness of our approach by reducing the amount of packets sent over network to 3% for the ECG monitoring service. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/HealthCom.2014.7001861 | e-Health Networking, Applications and Services |
Keywords | Field | DocType |
data reduction,electrocardiography,medical computing,patient monitoring,power aware computing,ubiquitous computing,CMF,CxtMF,ECG monitoring service,QoC,battery-dependent sensors,context management framework,data reduction approach,energy-efficient context management,quality of context,u-health systems,ubiquitous health systems,Context Management,Context-awareness,Data Reduction,Quality of Context,U-Health systems | Data modeling,Data mining,Context management,Efficient energy use,Computer security,Computer science,Network packet,Raw data,Real-time computing,Prediction algorithms,Healthcare system,Energy consumption | Conference |
Citations | PageRank | References |
0 | 0.34 | 13 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Valeria, O. | 1 | 0 | 0.34 |
| Alejandro Ribeiro | 2 | 2817 | 221.08 |
| Leal, L. | 3 | 0 | 0.34 |
| Maria Carmen Lemos | 4 | 3 | 2.53 |