Development and validation of experimental models for hyperemic thermal response using IR imaging

Eulalia Moreno; Sheng-Jen Hsieh; Benjamin Giron Palomares

doi:10.1117/12.918740

18 May 2012 Development and validation of experimental models for hyperemic thermal response using IR imaging

Eulalia Moreno, Sheng-Jen Hsieh, Benjamin Giron Palomares

Proceedings Volume 8354, Thermosense: Thermal Infrared Applications XXXIV; 83540U (2012) https://doi.org/10.1117/12.918740
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

A common method for diagnosing heart health condition is to analyze blood flow rate and temperature behaviors after arterial occlusion. However, multiple factors besides heart condition could affect these behaviors. The objective of this research was to identify other factors that affect blood flow and thermal response after arterial occlusion, evaluate a mathematical model to determine thermal response after arterial occlusion, and develop an experimental model for thermal response after arterial occlusion. Twenty-eight experiments were conducted with 14 subjects to determine blood and thermal responses by using plethysmography and infrared imaging after applying arterial occlusion. Possible factors affecting blood flow and thermal responses that were investigated were: Initial finger temperature, blood pressure, body temperature, gender, and age. After determining the correlation coefficient among the mentioned factors and blood flow and thermal responses after occlusion, it was determined that only initial finger temperature and blood pressure show a strong effect. A mathematical model accounting only for the convective thermal effects, but not thermal conduction effects, was developed and tested, but was found to be insufficiently accurate in describing the thermal response by means of blood flow parameters for all of the subjects tested (error>90%). A linear regression model was then developed to relate blood flow to thermal response using two thirds of the experimental data, and was tested using one third of the data. The linear regression model was found to predict thermal response by means of blood flow response with an error rate of less than 50%.

Citation Download Citation

Eulalia Moreno, Sheng-Jen Hsieh, and Benjamin Giron Palomares "Development and validation of experimental models for hyperemic thermal response using IR imaging", Proc. SPIE 8354, Thermosense: Thermal Infrared Applications XXXIV, 83540U (18 May 2012); https://doi.org/10.1117/12.918740

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KEYWORDS

Blood circulation

Mathematical modeling

Data modeling

Body temperature

Thermal modeling

Blood pressure

Infrared imaging

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