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Uranus: a middleware architecture for dependable AAL and vital signs monitoring applications.

Coronato A - Sensors (Basel) (2012)

Bottom Line: However, there is a lack of efficient tools that enable rapid and possibly cheap realization of reliable health monitoring applications.Uranus has also distinguishing characteristics like services for the run-time verification of the correctness of running applications and mechanisms for the recovery from failures.The paper concludes with two case studies as proof of concept.

View Article: PubMed Central - PubMed

Affiliation: ICAR-CNR, Via P. Castellino 111, 80131 Naples, Italy. Antonio.Coronato@na.icar.cnr.it

ABSTRACT
The design and realization of health monitoring applications has attracted the interest of large communities both from industry and academia. Several research challenges have been faced and issues tackled in order to realize effective applications for the management and monitoring of people with chronic diseases, people with disabilities, elderly people. However, there is a lack of efficient tools that enable rapid and possibly cheap realization of reliable health monitoring applications. The paper presents Uranus, a service oriented middleware architecture, which provides basic functions for the integration of different kinds of biomedical sensors. Uranus has also distinguishing characteristics like services for the run-time verification of the correctness of running applications and mechanisms for the recovery from failures. The paper concludes with two case studies as proof of concept.

No MeSH data available.


Related in: MedlinePlus

Component Interactions.
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f3-sensors-12-03145: Component Interactions.

Mentions: Figure 3 presents some interactions between software components of the first case study. In particular, interactions show how the application can self-reorganize after the failure of a network connection. Indeed, the ConnectionMonitor, which periodically checks for the availability of the connection, detects the failure (maybe due to fact that the patient has left the home) and activates a new available connection.


Uranus: a middleware architecture for dependable AAL and vital signs monitoring applications.

Coronato A - Sensors (Basel) (2012)

Component Interactions.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3376567&req=5

f3-sensors-12-03145: Component Interactions.
Mentions: Figure 3 presents some interactions between software components of the first case study. In particular, interactions show how the application can self-reorganize after the failure of a network connection. Indeed, the ConnectionMonitor, which periodically checks for the availability of the connection, detects the failure (maybe due to fact that the patient has left the home) and activates a new available connection.

Bottom Line: However, there is a lack of efficient tools that enable rapid and possibly cheap realization of reliable health monitoring applications.Uranus has also distinguishing characteristics like services for the run-time verification of the correctness of running applications and mechanisms for the recovery from failures.The paper concludes with two case studies as proof of concept.

View Article: PubMed Central - PubMed

Affiliation: ICAR-CNR, Via P. Castellino 111, 80131 Naples, Italy. Antonio.Coronato@na.icar.cnr.it

ABSTRACT
The design and realization of health monitoring applications has attracted the interest of large communities both from industry and academia. Several research challenges have been faced and issues tackled in order to realize effective applications for the management and monitoring of people with chronic diseases, people with disabilities, elderly people. However, there is a lack of efficient tools that enable rapid and possibly cheap realization of reliable health monitoring applications. The paper presents Uranus, a service oriented middleware architecture, which provides basic functions for the integration of different kinds of biomedical sensors. Uranus has also distinguishing characteristics like services for the run-time verification of the correctness of running applications and mechanisms for the recovery from failures. The paper concludes with two case studies as proof of concept.

No MeSH data available.


Related in: MedlinePlus