Limits...
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

Uranus Architecture.
© Copyright Policy
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC3376567&req=5

f1-sensors-12-03145: Uranus Architecture.

Mentions: This section provides a description of both the architectural model of Uranus and its main services, which are depicted in Figure 1. The formal methodology supported by the middleware, as well as a preliminary version of some of the Uranus’ services of the middleware itself, has been presented in [18].


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

Coronato A - Sensors (Basel) (2012)

Uranus Architecture.
© Copyright Policy
Related In: Results  -  Collection

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

f1-sensors-12-03145: Uranus Architecture.
Mentions: This section provides a description of both the architectural model of Uranus and its main services, which are depicted in Figure 1. The formal methodology supported by the middleware, as well as a preliminary version of some of the Uranus’ services of the middleware itself, has been presented in [18].

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