Decomposition of near-infrared spectroscopy signals using oblique subspace projections: applications in brain hemodynamic monitoring

Clinical data is comprised by a large number of synchronously collected biomedical signals that are measured at different locations. Deciphering the interrelationships of these signals can yield important information about their dependence providing some useful clinical diagnostic data. For instance...

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Fecha de publicación:
2016
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/27476
Acceso en línea:
https://doi.org/10.3389/fphys.2016.00515
https://repository.urosario.edu.co/handle/10336/27476
Palabra clave:
Tikhonov regularization
Biomedical signal processing
Brain hemodynamics
Oblique subspace projections
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dc.title.spa.fl_str_mv Decomposition of near-infrared spectroscopy signals using oblique subspace projections: applications in brain hemodynamic monitoring
dc.title.TranslatedTitle.spa.fl_str_mv Descomposición de señales de espectroscopia de infrarrojo cercano mediante proyecciones subespaciales oblicuas: aplicaciones en la monitorización hemodinámica del cerebro
title Decomposition of near-infrared spectroscopy signals using oblique subspace projections: applications in brain hemodynamic monitoring
spellingShingle Decomposition of near-infrared spectroscopy signals using oblique subspace projections: applications in brain hemodynamic monitoring
Tikhonov regularization
Biomedical signal processing
Brain hemodynamics
Oblique subspace projections
title_short Decomposition of near-infrared spectroscopy signals using oblique subspace projections: applications in brain hemodynamic monitoring
title_full Decomposition of near-infrared spectroscopy signals using oblique subspace projections: applications in brain hemodynamic monitoring
title_fullStr Decomposition of near-infrared spectroscopy signals using oblique subspace projections: applications in brain hemodynamic monitoring
title_full_unstemmed Decomposition of near-infrared spectroscopy signals using oblique subspace projections: applications in brain hemodynamic monitoring
title_sort Decomposition of near-infrared spectroscopy signals using oblique subspace projections: applications in brain hemodynamic monitoring
dc.subject.keyword.spa.fl_str_mv Tikhonov regularization
Biomedical signal processing
Brain hemodynamics
Oblique subspace projections
topic Tikhonov regularization
Biomedical signal processing
Brain hemodynamics
Oblique subspace projections
description Clinical data is comprised by a large number of synchronously collected biomedical signals that are measured at different locations. Deciphering the interrelationships of these signals can yield important information about their dependence providing some useful clinical diagnostic data. For instance, by computing the coupling between Near-Infrared Spectroscopy signals (NIRS) and systemic variables the status of the hemodynamic regulation mechanisms can be assessed. In this paper we introduce an algorithm for the decomposition of NIRS signals into additive components.
publishDate 2016
dc.date.created.spa.fl_str_mv 2016-11-08
dc.date.accessioned.none.fl_str_mv 2020-08-19T14:42:21Z
dc.date.available.none.fl_str_mv 2020-08-19T14:42:21Z
dc.type.eng.fl_str_mv article
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dc.type.spa.spa.fl_str_mv Artículo
dc.identifier.doi.none.fl_str_mv https://doi.org/10.3389/fphys.2016.00515
dc.identifier.issn.none.fl_str_mv ISSN: 1664-1078
EISSN: 1664-042X
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/27476
url https://doi.org/10.3389/fphys.2016.00515
https://repository.urosario.edu.co/handle/10336/27476
identifier_str_mv ISSN: 1664-1078
EISSN: 1664-042X
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationTitle.none.fl_str_mv Frontiers in Psychology
dc.relation.citationVolume.none.fl_str_mv Vol. 7
dc.relation.ispartof.spa.fl_str_mv Frontiers in Psychology, ISSN: 1664-1078; EISSN: 1664-042X, Vol.7 (2016)
dc.relation.uri.spa.fl_str_mv https://www.frontiersin.org/articles/10.3389/fphys.2016.00515/full
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dc.publisher.spa.fl_str_mv Frontiers Media
dc.source.spa.fl_str_mv Frontiers in Psychology
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