Camera-based On-line Short Cessation of Breathing Detection
Apnea detection is extremely important in neonatal settings because hypoxia can lead to permanent impairment. Short cessations of breathing are very common in infants and could be used for example for the prediction of longer apneas. The aim of this study is to investigate the accuracy of our on-line cessation of breathing detector. Signals obtained through camera-based respiration monitor- ing were analyzed in five infants with 91 annotated cessations of breathing. The method proposed is based on the comparison of short-term and long-term standard deviations allowing the detection of sudden amplitude reduction in the signal with a low latency. A new strategy able to detect short cessations of breathing on-line was successfully validated yielding an average accuracy of 93%
- Camera-based On-line Short Cessation of Breathing Detection
Ilde Lorato, Sander Stuijk, Mohammed Meftah, Wim Verkruijsse, and Gerard de Haan.
In Workshop on Computer Vision for Physiological Measurement, CVPM 19, Proceedings, pages xyz-xyz. Seoul, South Korea, 28 October 2019. IEEE, 2019. (abstract, pdf, doi).