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This is a preliminary study whose objectives are to define the clinical use cases and the constraints of the implementation of a multi-sensor image-sound system.
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300 000 newborns per year are hospitalized in European neonatal units in the post-natal period. This is a critical period for neurobehavioral development and the establishment of an optimal model of sleep-wake cycle is fundamental for brain development.
The objective of the research is to develop new tools for computer-aided clinical and predictive diagnosis and real-time monitoring in neonatology.
The development of non-invasive sensors based on video and sound images aims to improve the short- and medium-term prognosis in perinatal patients.
To that aim, multi-modal composite indices integrating the image (which is used only to generate a quantification of the movement) and the sound to the bioelectric signals already available (electrocardiogram, oxymetry, temperature) will be developed to provide diagnostic and prognostic information.
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Inclusion criteria
newborns less than 6 weeks old in corrected terms;
newborns in one of the following situations:
Exclusion criteria
35 participants in 1 patient group
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Data sourced from clinicaltrials.gov
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