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Acceso Abierto
Decomposition of near-infrared spectroscopy signals using oblique subspace projections: applications in brain hemodynamic monitoring
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Autores
Caicedo Dorado, Alexander
Carolina Varon, Carolina
Hunyadi, Borbala
Papademetriou, Maria
Tachtsidis, Ilias
Van Huffel, Sabine
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Fecha
2016-11-08
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Frontiers Media
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Abstract
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.
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Keywords
Tikhonov regularization , Biomedical signal processing , Brain hemodynamics , Oblique subspace projections
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