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Motion based detection of respiration rate in infants using video

Worldwide, 11% of infants are born prematurely, with a substantially increased risk of apneas, i.e. suspension of breathing, and in need of extra care after birth. Sensors used in neonatal intensive care units today are attached to the infant and can cause false alarms due to contact difficulties. In this paper we propose to monitor the respiratory rate of infants by using video recordings and video processing. A phase-based algorithm for the detection of small and repetitive motions is combined with a method for detecting situations where the camera view is blocked by a caretaker. The phase-based respiration detection (PRD) is tested on a small test set of videos of sleeping babies, where each breath is manually marked providing a truth signal. Compared to a difference-based method, PRD is much more robust and promising. The PRD is also tested on two adults, and the resulting respiratory rate is compared to a truth signal extracted from measuring the impedance pneumography of the thorax with encouraging results.