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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Detalles Bibliográficos
Publicado:	2011
Materias:	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
Acceso en línea:	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_17426588_v313_n1_p_GarciaEijo http://hdl.handle.net/20.500.12110/paper_17426588_v313_n1_p_GarciaEijo
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	paper:paper_17426588_v313_n1_p_GarciaEijo
record_format	dspace
spelling	paper:paper_17426588_v313_n1_p_GarciaEijo2023-06-08T16:27:18Z CardioGRID: A framework for the analysis of cardiological signals in GRID computing 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. 2011 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_17426588_v313_n1_p_GarciaEijo 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 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.
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	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_17426588_v313_n1_p_GarciaEijo http://hdl.handle.net/20.500.12110/paper_17426588_v313_n1_p_GarciaEijo
_version_	1768543392557432832

CardioGRID: A framework for the analysis of cardiological signals in GRID computing

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