Academic Journal
Thermal Cameras for Overnight Measuring of Respiration in a Clinical Setting
| Τίτλος: | Thermal Cameras for Overnight Measuring of Respiration in a Clinical Setting |
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| Συγγραφείς: | Alves, Raquel, van Meulen, Fokke, Overeem, Sebastiaan, Janssen, Hennie, van Hirtum, Pauline, Zinger, Svitlana, Stuijk, Sander |
| Πηγή: | Alves, R, van Meulen, F, Overeem, S, Janssen, H, van Hirtum, P, Zinger, S & Stuijk, S 2025, 'Thermal Cameras for Overnight Measuring of Respiration in a Clinical Setting', Sensors, vol. 25, no. 19, 5956. https://doi.org/10.3390/s25195956 |
| Έτος έκδοσης: | 2025 |
| Θεματικοί όροι: | Humans, Polysomnography/methods, Male, Adult, Respiration, Female, Respiratory Rate/physiology, Algorithms, Middle Aged, Sleep/physiology, Thermography/methods, Signal Processing, Computer-Assisted, Video Recording, Monitoring, Physiologic/methods, respiration rate, thermal cameras, sleep, polysomnography, remote thermography |
| Περιγραφή: | Thermal imaging is a non-contact method for monitoring respiration activity during sleep. In this study, we evaluated its clinical application during overnight recordings in a sleep clinic. Five thermal cameras were used to detect breaths, the estimated respiration rate (RR), and inter-breath intervals (IBIs) in seven adults undergoing diagnostic polysomnography (PSG). Forty-five minutes of recordings were selected, consisting of 12 motionless and event-free segments. The thermal videos were processed using an adapted pre-existing thermal video processing algorithm. The respiration signals generated with the thermal cameras were validated against simultaneously recorded signals from the PSG system, the current gold standard for monitoring sleep. The results show a mean absolute error (MAE) ranging between 0.64 and 0.91 breaths per minute for the RR. Breath detection showed a sensitivity of 96.3%, and a precision of 94.1%. The MAE obtained between IBIs was 0.48 s, and the mean IBI variability difference recorded was 3.9 percentage points. In addition, the results from this clinical study show that the use of all five cameras and a single camera revealed no statistically significant differences, demonstrating the work towards a robust system. This first study of thermal cameras for the assessment of respiration in a clinical setting shows us the potential application of thermal imaging in clinical practice for respiration monitoring and establishes a foundation for further implementation in assessing sleep-disordered breathing. |
| Τύπος εγγράφου: | article in journal/newspaper |
| Περιγραφή αρχείου: | application/pdf |
| Γλώσσα: | English |
| ISSN: | 1424-8220 |
| Relation: | info:eu-repo/semantics/altIdentifier/pmid/41094778; info:eu-repo/semantics/altIdentifier/pissn/1424-8220 |
| DOI: | 10.3390/s25195956 |
| Διαθεσιμότητα: | https://research.tue.nl/en/publications/092779ce-2472-42e8-af02-39697b5b6ca3 https://doi.org/10.3390/s25195956 https://pure.tue.nl/ws/files/369941803/sensors-25-05956-v2.pdf https://www.scopus.com/pages/publications/105018893147 |
| Rights: | info:eu-repo/semantics/openAccess ; http://creativecommons.org/licenses/by/4.0/ |
| Αριθμός Καταχώρησης: | edsbas.93A8B580 |
| Βάση Δεδομένων: | BASE |
| ISSN: | 14248220 |
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| DOI: | 10.3390/s25195956 |