Multi-Camera Infrared Thermography for Infant Respiration Monitoring
| Autor: | Gerard De Haan, Peter Andriessen, Carola van Pul, Mohammed Meftah, Deedee Kommers, Ilde Lorato, Sander Stuijk |
|---|---|
| Přispěvatelé: | Center for Care & Cure Technology Eindhoven, Efficient Stream Processing Lab, Electronic Systems, School of Med. Physics and Eng. Eindhoven, EAISI Health, EAISI High Tech Systems, EAISI Foundational |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0303 health sciences
Respiration monitoring Pixel Infrared business.industry Computer science Multi camera 01 natural sciences Atomic and Molecular Physics and Optics Article 010309 optics 03 medical and health sciences 0103 physical sciences Respiration Thermography Computer vision Artificial intelligence business Respiration rate Image resolution 030304 developmental biology Biotechnology |
| Zdroj: | Biomed Opt Express Biomedical Optics Express, 11(9), 4848-4861. Optical Society of America (OSA) |
| ISSN: | 2156-7085 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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