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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| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_17426588_v313_n1_p_GarciaEijo |
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todo:paper_17426588_v313_n1_p_GarciaEijo2023-10-03T16:30:40Z CardioGRID: A framework for the analysis of cardiological signals in 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. 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 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. CONF info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_17426588_v313_n1_p_GarciaEijo |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (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 |
CONF |
| 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 |
| url |
http://hdl.handle.net/20.500.12110/paper_17426588_v313_n1_p_GarciaEijo |
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