Paper
27 August 2024 Analysis of temperature effects on plethysmography testing box and research on box pressure correction method
Rui Wang, Yang Huang, Xin Yang, Guo Yang, Zhihui Wang
Author Affiliations +
Proceedings Volume 13252, Fourth International Conference on Biomedicine and Bioinformatics Engineering (ICBBE 2024); 1325226 (2024) https://doi.org/10.1117/12.3044156
Event: 2024 Fourth International Conference on Biomedicine and Bioinformatics Engineering (ICBBE 2024), 2024, Kaifeng, China
Abstract
In order to further improve the accuracy and measurement efficiency of the plethysmography method, this paper proposes a genetic algorithm-based optimized back-propagation (GA-BP) neural network method for the correction of the pressure inside the box of the plethysmography box. In this paper, we first analyze how the temperature affects the accuracy and measurement efficiency of plethysmography testing box results, and give the expression of the relationship between the local temperature inside the plethysmography testing box and the pressure inside the box, through the correction of the measurement pressure, the temperature influence of the human body into the plethysmography testing box can be reduced, so as to improve the accuracy of the measurement results. By setting the appropriate temperature detection points, establishing the BP neural network pressure prediction model based on the optimization of genetic algorithm, using the model to predict the pressure changes of different human bodies entering the box, and using the prediction to correct the effect of human body temperature on the pressure inside the box in real time during the measurement process. Finally, the results of simulation and experimental data verified its superiority over the traditional method in terms of accuracy and efficiency performance, which has an important application value in clinical lung function testing.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Rui Wang, Yang Huang, Xin Yang, Guo Yang, and Zhihui Wang "Analysis of temperature effects on plethysmography testing box and research on box pressure correction method", Proc. SPIE 13252, Fourth International Conference on Biomedicine and Bioinformatics Engineering (ICBBE 2024), 1325226 (27 August 2024); https://doi.org/10.1117/12.3044156
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KEYWORDS
Temperature metrology

Body temperature

Data modeling

Sensors

Neural networks

Education and training

Lung

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