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This paper presents a thermal analysis and methodology of thermal parameters identification of thermal multilayer structures using thermographic measurements after dynamic heating (or cooling) the investigated objects. During the thermal transient process, thermal images are recorded, with the highest possible frame rate of the camera. Then, temperature and power signals are transformed into the frequency domain, to get finally the thermal time constants distribution corresponding to the thermal parameters of the structure. A brief description of TOI program developed in MATLAB environment as well as the exemplary identifications of 2 different thermal objects are shown.

In this paper a dynamic three layer model for the heat transfer in the human skin is presented. The model is solved in the Laplace domain using the phasor notation. In order to compare the theoretical model with experimental results, a transient heating was carried out and the time dependent skin temperature was recorded with a thermographic camera. The transient temperature could be fitted very well to an analytical function, which could easily be transformed into the Laplace domain allowing an easy comparison between the model and the experimental results. The aim of the research is to evaluate the skin thermal parameters for all layers including the blood perfusion.

Measurement of the perfusion coefficient and thermal parameters of skin tissue using dynamic thermography is presented in this paper. A novel approach based on cold provocation and thermal modelling of skin tissue is presented. The measurement was performed on a person's forearm using a special cooling device equipped with the Peltier module. The proposed method first cools the skin, and then measures the changes of its temperature matching the measurement results with a heat transfer model to estimate the skin perfusion and other thermal parameters. In order to assess correctness of the proposed approach, the uncertainty analysis was performed.

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