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Abstract
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%.
Original language | English |
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Title of host publication | Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019 |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 1656-1663 |
Number of pages | 8 |
ISBN (Electronic) | 9781728150239 |
DOIs | |
Publication status | Published - 28 Oct 2019 |
Event | ICCV 2019 Workshops: The IEEE International Conference on Computer Vision (ICCV) Workshops - The 2nd International Workshop on Computer Vision for Physiological Measurement (CVPM) - Seoul, Korea, Republic of Duration: 27 Oct 2019 → 2 Nov 2019 |
Conference
Conference | ICCV 2019 Workshops |
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Country/Territory | Korea, Republic of |
City | Seoul |
Period | 27/10/19 → 2/11/19 |
Funding
This research was performed within the Alarm-Limiting AlgoRithm-based Monitoring (ALARM) project funded by Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO) grant number 15345.
Keywords
- Apnea
- Apnea detection
- Camera
- Cessation of breathing
- Infants
- NICU
- On line detection
- Respiration
- Short apnea
- Video
Fingerprint
Dive into the research topics of 'Camera-based on-line short cessation of breathing detection'. Together they form a unique fingerprint.Projects
- 1 Finished
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Alarm-Limiting AlgoRithm-based Monitoring
Stuijk, S. (Project Manager), Sanders, R. (Project communication officer), van der Hagen, D. (Project communication officer) & de Mol-Regels, M. (Project communication officer)
15/06/17 → 15/10/22
Project: Research direct