Subject area |
Biomedical Engineering and Computer Science |
Specific subject area |
Computer vision and deep learning for neonatology applications |
Type of data |
Images and corresponding annotation sheet |
How data were acquired |
RGB-D sensor (Orbbec® camera) placed over the crib in neonatal intensive care units (NICUs) |
Data format |
Raw depth images (*.png) and corresponding annotation sheet (*.xlsx) |
Parameters for data collection |
Depth video sequences (5 minutes each) were acquired with the Orbbec® camera placed over the cribs of 16 preterm infants hospitalized in the NICU of the G. Salesi Hospital (Ancona, Italy). Data were acquired during the actual clinical practice and all the infants were breathing spontaneously. |
Description of data collection |
Data were collected from 16, autonomously breathing, preterm infants, while the infants were hospitalized in NICUs |
Data source location |
G. Salesi Hospital, Via Filippo Corridoni, 11, 60123 Ancona (Italy) |
Data accessibility |
http://doi.org/10.5281/zenodo.3891404 |
Related research article |
Moccia et al. 2020 [2]
|