The aim of the study was to evaluate an automatic thermographic software package (ThermoHuman®) for assessing skin temperature on the soles of the feet before and after running and to compare it with two manual definitions of the regions of interest (ROIs). 120 thermal images of the soles of the feet of 30 participants, at two measurement points (before and after running 30 min) and on two measurement days were analyzed. Three different models of thermographic image analyses were used to obtain the mean temperature of 9 ROIs: A) ThermoHuman (automatic definition of ROIs using ThermoHuman® software), B) Manual (manual delimitation of ROIs by proportion criteria), and C) Manual-TH (manual delimitation of ROIs in an attempt to replicate the regions analyzed by ThermoHuman). ThermoHuman resulted in an 86% reduction in time involved compared to manual delimitation. Fourteen of the 120 images (12%) presented some error in one or more of the ROI delimitations. Although the three procedures presented significant differences between them (53% in the comparison between ThermoHuman and Manual, 47% between ThermoHuman and Manual-TH, and 28% between Manual and Manual-TH), all differences had a small effect size (ES 0.2-0.4) or lower (ES < 0.2). Bland-Altman plots showed similar 95% limits of agreement between the three procedures before and after running. Intraclass correlation coefficient analysis of the three procedures presented excellent reliability (ICC>0.8). In conclusion, ThermoHuman® software was observed to be time-saving for image analysis with excellent reliability. Although results suggest that ThermoHuman® and manual methods are both valid in themselves, combining them is not recommended due to the differences observed between them.

中文翻译：

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用于评估跑步前后足部温度的 ThermoHuman 自动热成像软件的验证

该研究的目的是评估用于评估跑步前后脚底皮肤温度的自动热成像软件包 (ThermoHuman®)，并将其与感兴趣区域 (ROI) 的两个手动定义进行比较。分析了 30 名参与者在两个测量点（跑步 30 分钟之前和之后）和两个测量日的脚底的 120 幅热图像。三种不同的热成像图像分析模型用于获得 9 个 ROI 的平均温度：A) ThermoHuman（使用 ThermoHuman® 软件自动定义 ROI），B) 手动（按比例标准手动划定 ROI），以及 C) 手动- TH（手动划定 ROIs 以尝试复制 ThermoHuman 分析的区域）。与手动定界相比，ThermoHuman 使所涉及的时间减少了 86%。120 张图像中的 14 张 (12%) 在一个或多个 ROI 定界中存在一些错误。尽管三个程序之间存在显着差异（ThermoHuman 和 Manual 之间的比较为 53%，ThermoHuman 和 Manual-TH 之间为 47%，Manual 和 Manual-TH 之间为 28%），但所有差异的影响大小都很小（ES 0.2 -0.4) 或更低 (ES < 0.2)。Bland-Altman 图显示了运行前后三个程序之间相似的 95% 一致性限制。三个程序的组内相关系数分析显示出极好的可靠性（ICC>0.8）。总之，据观察，ThermoHuman® 软件在图像分析方面具有出色的可靠性，可以节省时间。