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Distinguishing Between Healthy and Unhealthy Newborns Based on Acoustic Features and Deep Learning Neural Networks Tuned by Bayesian Optimization and Random Search Algorithm

Author(s): Lahmiri S; Tadj C; Gargour C;

Voice analysis and classification for biomedical diagnosis purpose is receiving a growing attention to assist physicians in the decision-making process in clinical milieu. In this study, we develop and test deep feedforward neural networks (DFFNN) to distinguish between healthy and unhealthy newborns. The DFFNN are trained with acoustic features measured ...

Article GUID: 41294952


Mothers' and fathers' early tactile contact behaviors during triadic and dyadic parent-infant interactions immediately after birth and at 3-months postpartum: Implications for early care behaviors and intervention

Author(s): Mercuri M; Stack DM; Trojan S; Giusti L; Morandi F; Mantis I; Montirosso R;

Mothers' and fathers' touch were investigated during their first naturalistic interaction with their newborns, and maternal touch was predicted from newborn to 3-months postpartum during the Still-Face (SF) procedure. Both parents displayed more nurturing types of touch when interacting with their infants for the first time. Maternal touch at newb ...

Article GUID: 31546151


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