Camera-based on-line short cessation of breathing detection

Ilde Lorato, Sander Stuijk, Mohammed Meftah, Wim Verkruijsse, Gerard De Haan

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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 monitoring 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%.

Originele taal-2Engels
TitelProceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019
UitgeverijInstitute of Electrical and Electronics Engineers
Aantal pagina's8
ISBN van elektronische versie9781728150239
StatusGepubliceerd - 28 okt 2019
EvenementICCV 2019 Workshops: The IEEE International Conference on Computer Vision (ICCV) Workshops - The 2nd International Workshop on Computer Vision for Physiological Measurement (CVPM) - Seoul, Zuid-Korea
Duur: 27 okt 20192 nov 2019


CongresICCV 2019 Workshops


Citeer dit

Lorato, I., Stuijk, S., Meftah, M., Verkruijsse, W., & De Haan, G. (2019). Camera-based on-line short cessation of breathing detection. In Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019 (blz. 1656-1663). [9022052] Institute of Electrical and Electronics Engineers.