Conferencia

Garcia Eijo, J.F.; Risk, M.; Castrillo, F.P.; Ortega, C.S.; Fernandez, M.B.; Diaz, A.P.; Del Solar, M.R.; Pollan, R.R. "CardioGRID: A framework for the analysis of cardiological signals in GRID computing" (2011) 17th Biennial Congress of the Argentinean Bioengineering Society and 6th Clinical Engineering Conference, SABI 2009. 313(1)
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Abstract:

The present paper describes the development of the CardioGRID framework into the GRID infrastructure. The core GRID services; Workload Management System (WMS), Data Management System and Grid Authentication have been implemented. Additionally, a web-based tool -the CardioGRID portal- has been developed to facilitate the user interaction with the GRID. As a result, the user is able to process the electrocardiogram (ECG) signals obtained form a portable data acquisition device and to process it on the GRID. Once the CardioGRID portal is prompted and the user identity is verified through a digital X.509 certificate, the operator may either upload new raw ECG data to the GRID Storage Elements or use already stored data. Then, subsequent analytics from these data are performed as GRID jobs and relevant medical quantities are derived through middle-ware job retrieval mechanism. In summary in this paper was described the development of a medical GRID based system, and its integration to an existing platform for Digital Repositories Infrastructure.

Registro:

Documento: Conferencia
Título:CardioGRID: A framework for the analysis of cardiological signals in GRID computing
Autor:Garcia Eijo, J.F.; Risk, M.; Castrillo, F.P.; Ortega, C.S.; Fernandez, M.B.; Diaz, A.P.; Del Solar, M.R.; Pollan, R.R.
Ciudad:Rosario
Filiación:Department of Computer Science, FCEyN, University of Buenos Aires, Argentina
Extremadura Research Centre for Advanced Technologies, Research Centre for Energy, Environment and Technology (CETA-CIEMAT), Trujillo, Spain
Palabras clave:Biomedical engineering; Data acquisition; Digital storage; Electrocardiography; Information management; Data management system; Digital repository; Electrocardiogram signal; Grid infrastructures; Portable data acquisitions; Retrieval mechanisms; Workload management; X.509 certificates; Grid computing
Año:2011
Volumen:313
Número:1
DOI: http://dx.doi.org/10.1088/1742-6596/313/1/012010
Título revista:17th Biennial Congress of the Argentinean Bioengineering Society and 6th Clinical Engineering Conference, SABI 2009
Título revista abreviado:J. Phys. Conf. Ser.
ISSN:17426588
PDF:https://bibliotecadigital.exactas.uba.ar/download/paper/paper_17426588_v313_n1_p_GarciaEijo.pdf
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_17426588_v313_n1_p_GarciaEijo

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Citas:

---------- APA ----------
Garcia Eijo, J.F., Risk, M., Castrillo, F.P., Ortega, C.S., Fernandez, M.B., Diaz, A.P., Del Solar, M.R.,..., Pollan, R.R. (2011) . CardioGRID: A framework for the analysis of cardiological signals in GRID computing. 17th Biennial Congress of the Argentinean Bioengineering Society and 6th Clinical Engineering Conference, SABI 2009, 313(1).
http://dx.doi.org/10.1088/1742-6596/313/1/012010
---------- CHICAGO ----------
Garcia Eijo, J.F., Risk, M., Castrillo, F.P., Ortega, C.S., Fernandez, M.B., Diaz, A.P., et al. "CardioGRID: A framework for the analysis of cardiological signals in GRID computing" . 17th Biennial Congress of the Argentinean Bioengineering Society and 6th Clinical Engineering Conference, SABI 2009 313, no. 1 (2011).
http://dx.doi.org/10.1088/1742-6596/313/1/012010
---------- MLA ----------
Garcia Eijo, J.F., Risk, M., Castrillo, F.P., Ortega, C.S., Fernandez, M.B., Diaz, A.P., et al. "CardioGRID: A framework for the analysis of cardiological signals in GRID computing" . 17th Biennial Congress of the Argentinean Bioengineering Society and 6th Clinical Engineering Conference, SABI 2009, vol. 313, no. 1, 2011.
http://dx.doi.org/10.1088/1742-6596/313/1/012010
---------- VANCOUVER ----------
Garcia Eijo, J.F., Risk, M., Castrillo, F.P., Ortega, C.S., Fernandez, M.B., Diaz, A.P., et al. CardioGRID: A framework for the analysis of cardiological signals in GRID computing. J. Phys. Conf. Ser. 2011;313(1).
http://dx.doi.org/10.1088/1742-6596/313/1/012010