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Updated: Jul 15, 2026

Comparative Analysis of Lower Limb Kinematics between the Initial and Terminal Phase of 5km Treadmill Running
Published on: July 17, 2020
Agreement between automated ThermoHuman® and manual thermographic analyses for assessing lower-limb skin temperatures
William Martins Januário1, Thales Nicolau Prímola-Gomes1, Manuel Rovira-Esteve2
1Research Group in Sports Biomechanics (GIBD), Department of Physical Education and Sports, Faculty of Physical Activity and Sport Sciences, University of Valencia, Valencia, Spain; Department of Physical Education, Human Thermoregulation and Exercise Research Group (GETEF), Federal University of Viçosa, Viçosa, Minas Gerais, Brazil.
Abstract:
Although different studies are using ThermoHuman software to delimitate regions of interest (ROI) of lower limbs, no study has validated this automatic analysis. This work evaluated the level of agreement and time efficiency of the automated ThermoHuman software compared with manual determination of the regions of interest in assessing lower-limb skin temperature before and after exercise. Seventy-six thermographic images from 19 recreational runners (10 males, 9 females) were analyzed before and after a 10-km outdoor run. Automated analysis using ThermoHuman was compared with Manual analysis (ROI delineation based on general template) and Manual-TH (manual replication of the same ROI delimitations generated by ThermoHuman). Agreement was assessed using concordance correlation coefficients (CCC), mean absolute error (MAE), Bland-Altman analysis, and linear mixed models. High agreement was observed between methods, with CCC values ranging from 0.95 to 0.98 and MAE between 0.3 °C and 0.5 °C, and bias of 0.0 °C for all comparisons. Mixed-model analysis revealed no significant main effect of method. Additionally, the ROI selection criterion (Manual-TH vs. Manual) did not result in significant differences. Compared with Manual (13.9 h) and Manual-TH (28.7 h), ThermoHuman required substantially less time for image analysis (2.0 h), representing time savings of 85.6 % and 93 %, respectively. In conclusion, automated analysis using ThermoHuman showed high agreement with both manual approaches, including a higher time efficiency.
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