Projects per year
Respiration is monitored in neonatal wards using chest impedance (CI), which is obtrusive and can cause skin damage to the infants. Therefore, unobtrusive solutions based on infrared thermography are being investigated. This work proposes an algorithm to merge multiple thermal camera views and automatically detect the pixels containing respiration motion or flow using three features. The method was tested on 152 minutes of recordings acquired on seven infants. We performed a comparison with the CI respiration rate yielding a mean absolute error equal to 2.07 breaths/min. Merging the three features resulted in reducing the dependency on the window size typical of spectrum-based features.
|Number of pages||14|
|Journal||Biomedical Optics Express|
|Publication status||Published - 1 Sept 2020|
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- 1 Finished
Alarm-Limiting AlgoRithm-based Monitoring
Stuijk, S., Sanders, R., van der Hagen, D. & de Mol-Regels, M.
15/06/17 → 15/10/22
Project: Research direct
M.B. (Beatrijs) van der Hout-van der Jagt (Content manager) & Eugenie Delvaux (Content manager)
Impact: Research Topic/Theme (at group level)