Publications by authors named "Y Dosso"

Depth cameras can provide an effective, noncontact, and privacy-preserving means to monitor patients in the Neonatal Intensive Care Unit (NICU). Clinical interventions and routine care events can disrupt video-based patient monitoring. Automatically detecting these periods can decrease the time required for hand-annotating recordings, which is needed for system development.

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Article Synopsis
  • Video-based monitoring in the NICU could enhance patient care by automating the charting of clinical events like bottle feeding, facilitating real-time recording instead of relying on retrospective methods.
  • The approach utilizes transfer learning with a pretrained VGG-16 model to identify bottle-feeding events from images gathered during interventions and seeks to tackle data scarcity by incorporating similar-feature images from public sources.
  • Results indicate a significant improvement of over 18% in sensitivity for detecting these events after expanding the dataset, highlighting the effectiveness of this method in bridging the gap between varied datasets.
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Newborns admitted to the neonatal intensive care unit (NICU) require a high level of care due to their precarious condition. Nurses typically monitor their vital signs continuously using wearable sensors such as electrocardiogram (ECG) electrodes placed on their chest and a pulse oximeter on a limb. When the patient moves, this can cause motion artifacts on one or more physiologic signals, potentially resulting in a false alarm on the patient monitor.

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Pyrethroid resistance in malaria vectors has spread across sub-Saharan Africa. Alternative tools and molecules are urgently needed for effective vector control. One of the most promising strategies to prevent or delay the development of resistance is to use at least two molecules having unrelated modes of action in combination in the same bed net.

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Objectives: To describe the diagnosis and therapeutic management of bacterial pneumopathies in a neonatology unit located in a tropical area.

Methods: Transverse and prospective survey over an 18-month period. The diagnosis was based on the comparison of anamnestic features with clinical, biological and radiological features.

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