RT journal article
T1 NeoCam: An Edge-Cloud Platform for  Non-Invasive Real-Time Monitoring  in Neonatal Intensive Care Units
A1 Ruiz Zafra, Ángel
A1 Precioso Garcelán, Daniel
A1 Salvador Domínguez, Blas
A1 Lubián López, Simón Pedro
A1 Jiménez de la Jara, Javier
A1 Benavente Fernández, Isabel
A1 Pigueiras del Real, Janet
A1 Gómez-Ullate Oteiza, David
A1 Cervera Gontard, Lionel
A2 Física de la Materia Condensada
K1 NeoCam
K1 preterm neonate
K1 NICU
K1 non-contact monitoring
K1 edge computing
K1 body pose
K1 facial expression
AB In this work we introduce NeoCam , an open source hardware-software platform for video-based monitoring of preterms infants in Neonatal Intensive Care Units (NICUs). NeoCam includes an edge computing device that performs video acquisition and processing in real-time. Compared to other proposed solutions, it has the advantage of handling data more efficiently by performing most of the processing on the device, including proper anonymisation for better compliance with privacy regulations. In addition, it allows to perform various video analysis tasks of clinical interest in parallel at speeds of between 20 and 30 frames-per-second. We introduce algorithms to measure without contact the breathing rate, motor activity, body pose and emotional status of the infants. For breathing rate, our system shows good agreement with existing methods provided there is sufficient light and proper imaging conditions. Models for motor activity and stress detection are new to the best of our knowledge. NeoCam has been tested on preterms in the NICU of the University Hospital Puerta del Mar (Cádiz, Spain), and we report the lessons learned from this trial.
PB IEEE
YR 2023
FD 2023-02-01
LK http://hdl.handle.net/10498/32199
UL http://hdl.handle.net/10498/32199
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 10-may-2026