A standard video camera can detect when a newborn is in pain by watching the subtle shifts in blue light reflecting off their face.
Newborns in the intensive care unit cannot vocalize their pain, and physical exams often add to their stress. This system uses remote photoplethysmography to extract pulse signals directly from video footage without touching the infant. By focusing specifically on the blue color channel of the video, the AI can distinguish the unique physiological signatures of distress. This non-contact monitoring reduces the risk of hospital-acquired infections and prevents the constant sleep interruptions caused by manual checks. It provides a silent, constant watch over the most vulnerable patients in the hospital.
Exploring Remote Photoplethysmography for Neonatal Pain Detection from Facial Videos
arXiv · 2604.25680
Unaddressed pain in neonates can lead to adverse effects, including delayed development and slower weight gain, emphasising the need for more objective and reliable pain assessment methods. Hence, automated methods using behavioural and physiological pain indicators have been developed to aid healthcare professionals in the Neonatal ICU. Traditional contact-based methods for physiological parameter estimation are unsuitable for long-term monitoring and increase the risk of spreading diseases lik