Multi-Camera Infrared Thermography for Infant Respiration Monitoring

Ilde Lorato; Sander Stuijk; Mohammed Meftah; Deedee Kommers; Peter Andriessen; Carola van Pul; Gerard de Haan

doi:10.1364/BOE.397188

Multi-Camera Infrared Thermography for Infant Respiration Monitoring

Ilde Lorato (Corresponding author), Sander Stuijk, Mohammed Meftah, Deedee Kommers, Peter Andriessen, Carola van Pul, Gerard de Haan

Research output: Contribution to journal › Article › Academic › peer-review

13 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	4848-4861
Number of pages	14
Journal	Biomedical Optics Express
Volume	11
Issue number	9
DOIs	https://doi.org/10.1364/BOE.397188
Publication status	Published - 1 Sept 2020

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10.1364/BOE.397188

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

Perinatal Medicine
M.B. (Beatrijs) van der Hout-van der Jagt (Content manager) & Eugenie Delvaux (Content manager)
Impact: Research Topic/Theme (at group level)

Cite this

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title = "Multi-Camera Infrared Thermography for Infant Respiration Monitoring",

abstract = "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.",

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AU - Lorato, Ilde

AU - Stuijk, Sander

AU - Meftah, Mohammed

AU - Kommers, Deedee

AU - Andriessen, Peter

AU - van Pul, Carola

AU - de Haan, Gerard

PY - 2020/9/1

Y1 - 2020/9/1

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AB - 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.

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EP - 4861

JO - Biomedical Optics Express

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ER -

Multi-Camera Infrared Thermography for Infant Respiration Monitoring

Abstract

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Projects

Alarm-Limiting AlgoRithm-based Monitoring

Impacts

Perinatal Medicine

Cite this