CardioGRID: A framework for the analysis of cardiological signals in GRID computing
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 develo...
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2011
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Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_17426588_v313_n1_p_GarciaEijo https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=artiaex&d=paper_17426588_v313_n1_p_GarciaEijo_oai |
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I28-R145-paper_17426588_v313_n1_p_GarciaEijo_oai2024-08-16 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 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. application/pdf http://hdl.handle.net/20.500.12110/paper_17426588_v313_n1_p_GarciaEijo info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar J. Phys. Conf. Ser. 2011;313(1) 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 CardioGRID: A framework for the analysis of cardiological signals in GRID computing info:eu-repo/semantics/conferenceObject info:ar-repo/semantics/documento de conferencia info:eu-repo/semantics/publishedVersion https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=artiaex&d=paper_17426588_v313_n1_p_GarciaEijo_oai |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-145 |
collection |
Repositorio Digital de la Universidad de Buenos Aires (UBA) |
topic |
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 |
spellingShingle |
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 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 |
topic_facet |
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 |
description |
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. |
format |
Documento de conferencia Documento de conferencia publishedVersion |
author |
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. |
author_facet |
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. |
author_sort |
Garcia Eijo, J.F. |
title |
CardioGRID: A framework for the analysis of cardiological signals in GRID computing |
title_short |
CardioGRID: A framework for the analysis of cardiological signals in GRID computing |
title_full |
CardioGRID: A framework for the analysis of cardiological signals in GRID computing |
title_fullStr |
CardioGRID: A framework for the analysis of cardiological signals in GRID computing |
title_full_unstemmed |
CardioGRID: A framework for the analysis of cardiological signals in GRID computing |
title_sort |
cardiogrid: a framework for the analysis of cardiological signals in grid computing |
publishDate |
2011 |
url |
http://hdl.handle.net/20.500.12110/paper_17426588_v313_n1_p_GarciaEijo https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=artiaex&d=paper_17426588_v313_n1_p_GarciaEijo_oai |
work_keys_str_mv |
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_version_ |
1809356932589289472 |