研究目的
To evaluate the use of a thermal imaging method to monitor the respiratory rate in children and adults, aiming to provide a non-contact, accurate, and practical device for clinical assessment.
研究成果
Thermal imaging-derived respiratory rates show high correlation (up to r=0.995) with standard contact methods, indicating it is a promising non-contact technique for clinical use. With refinements to handle movement and reduce costs, it could be valuable for acute and chronic care in both children and adults.
研究不足
Limitations include the high cost of thermal cameras, sensitivity to large head movements (which can cause monitoring failure), issues with subjects wearing glasses or having blocked noses, and the need for the subject's face to remain in the camera's field of view. The study was conducted in a non-emergency setting, so further validation in acute environments is needed.
1:Experimental Design and Method Selection:
The study used thermal imaging to monitor respiratory rate non-invasively, comparing it with standard contact methods. Algorithms were developed for real-time tracking of facial thermal images, specifically focusing on the nose region.
2:Sample Selection and Data Sources:
Subjects included 41 adult volunteers (age 27-46 years) and 20 children (age
3:5-18 years) undergoing polysomnography. Children were selected from a sleep unit, and adults were hospital staff. List of Experimental Equipment and Materials:
Thermal imaging camera (FLIR A40 model), tripod, polysomnography system (ALICE 5 Sleep System by Philips Respironics), respiratory inductance plethysmography bands, nasal thermistor, nasal airflow sensor, end tidal CO2 monitor, and software (LabVIEW, MATLAB).
4:Experimental Procedures and Operational Workflow:
The thermal camera was positioned 1 m from the subject's face, recording at 50 frames/s for at least 2 minutes. Images were processed using algorithms to track the nose region and derive respiratory rate. Contact methods were used simultaneously for comparison.
5:Data Analysis Methods:
Respiratory rates were compared using correlation coefficients (r) calculated in MS Excel, MATLAB, and LabVIEW. Fast Fourier transform (FFT) was used for frequency analysis of respiratory signals.
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thermal imaging camera
FLIR A40
FLIR
To capture facial thermal images for monitoring respiratory rate by detecting infrared radiation emitted from the skin, specifically around the nose region.
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polysomnography system
ALICE 5 Sleep System
Philips Respironics
To integrate and record respiratory signals from contact methods such as nasal thermistor, respiratory inductance plethysmography, nasal airflow, and end tidal CO2 for comparison with thermal imaging.
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respiratory inductance plethysmography bands
To measure respiratory signals by detecting changes in thoracic and abdominal circumference, used as a standard contact method for comparison.
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nasal thermistor
To measure changes in temperature of exhaled air for respiratory rate monitoring, used as a standard contact method.
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nasal airflow sensor
To detect airflow for respiratory rate measurement, used as a standard contact method.
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end tidal CO2 monitor
To measure exhaled CO2 levels for deriving respiratory rate, used as a standard contact method.
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software
LabVIEW
National Instruments
To process thermal images in real-time for respiratory rate calculation.
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software
MATLAB
To verify correlation coefficients and for data analysis.
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software
MS Excel
Microsoft
To calculate correlation coefficients for data analysis.
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