2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2012
DOI: 10.1109/embc.2012.6347398
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Decoupling the influence of systemic variables in the peripheral and cerebral haemodynamics during ECMO procedure by means of oblique and orthogonal subspace projections

Abstract: Abstract-Extra-Corporeal Membrane Oxygenation (ECMO) is a life support system for infants and children with cardio-respiratory failure. During ECMO it is possible to have unstable cerebral haemodynamics, due to strong oscillations in the systemic variables, among other factors, which may lead to brain damage in the patients. Therefore, monitoring the coupling between cerebral haemodynamics and systemic signals might alert us of possible imminent brain damage. In this study we explore the use of orthogonal and … Show more

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Cited by 7 publications
(3 citation statements)
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“…Therefore, the power of the respiratory-related component of HR (or BP) signal could be calculated and serves as an index of respiratory influence on HR (or BP). Accordingly, the first step of the algorithm is to construct the respiratory subspace (V), which was formed by wavelet coefficients and their delayed versions of respiratory signal (Caicedo et al, 2012; Widjaja et al, 2014). The level of the wavelet decomposition was 5 and the delay was set at 3 s in this study.…”
Section: Methodsmentioning
confidence: 99%
“…Therefore, the power of the respiratory-related component of HR (or BP) signal could be calculated and serves as an index of respiratory influence on HR (or BP). Accordingly, the first step of the algorithm is to construct the respiratory subspace (V), which was formed by wavelet coefficients and their delayed versions of respiratory signal (Caicedo et al, 2012; Widjaja et al, 2014). The level of the wavelet decomposition was 5 and the delay was set at 3 s in this study.…”
Section: Methodsmentioning
confidence: 99%
“…Orthogonal subspace projection decomposes a signal in two independent components using a given reference, in this case the respiratory signal [8], [9].…”
Section: Orthogonal Subspace Projectionmentioning
confidence: 99%
“…In a previous study we presented an algorithm, based on the use of orthogonal and oblique subspace projection techniques (OrSP), to decompose a target signal in a set of signals related to a given basis. In this study we exploit the use of this algorithm as a preprocessing step for CA assessment [9].…”
Section: Introductionmentioning
confidence: 99%