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Estimation of pulmonary arterial pressure by a neural network analysis using features based on time-frequency representations of the second heart sound

The objective of this study was to develop a non-invasive method for the estimation of pulmonary arterial pressure (PAP) using a neural network (NN) and features extracted from the second heart sound (S2). To obtain the information required to train and test the NN, an animal model of pulmonary hype...

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Bibliografski detalji
Glavni autori: Tranulis, Constantin, Durand, Louis-Gilles, Senhadji, Lotfi, Pibarot, Philippe
Format: Artigo
Jezik:Inglês
Izdano: Springer 2002
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC1941762/
https://ncbi.nlm.nih.gov/pubmed/12043802
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/BF02348126
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