Issues and Future Developments of Infrared Thermography in Sports Science

Priego-Quesada, José Ignacio; Vardasca, Ricardo

doi:10.1007/978-3-319-47410-6_12

Cited by 7 publications

(7 citation statements)

References 76 publications

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“…Furthermore, it was not possible to determine a regression model that predicts the stress of the runner using skin Different approaches were employed to explore the effect of the half marathon on skin temperature, but none of them showed that skin temperature is related with runners' stress: no peak of skin temperature was observed in the tests after the competition and no regression model (linear or logistic) was able to predict the variation in the different measurements of CK or the cluster with higher stress. The possible effect of the half marathon on greater muscle damage and inflammation may be counteracted for by the multifactorial dependence of the skin temperature (Fernández-Cuevas et al 2015, Priego Quesada et al 2017). In addition, muscle damage and inflammation may not be close to the skin, and therefore not have a significant effect on skin temperature.…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, the relationship between training load and changes in skin temperature was suggested as another application to investigate (Fernández-Cuevas et al 2014, Priego Quesada andVardasca 2017).…”

Section: Introductionmentioning

confidence: 99%

“…This application is commonly based on the assessment of the thermal symmetry between body sides assuming that asymmetries higher than 0.5 °C-0.7 °C could be associated with dysfunction of the musculoskeletal system (Hildebrandt et al 2010, Vardasca et al 2012, Fernández-Cuevas et al 2017. Furthermore, the relationship between training load and changes in skin temperature was suggested as another application to investigate (Fernández-Cuevas et al 2014, Priego-Quesada andVardasca 2017).…”

Section: Introductionmentioning

confidence: 99%

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Association between physiological stress and skin temperature response after a half marathon

Pérez-Guarner¹,

Priego-Quesada²,

Oficial-Casado³

et al. 2019

Physiol. Meas.

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Objective: The objective of this study was to determine the association between skin temperature response and the physiological stress after a half marathon. Approach:Seventeen runners were measured 48 h before, 24 h before, 24 h after and 48 h after completing a half marathon. The measurements on each day of testing included blood markers (creatine kinase [CK] and glutamate oxaloacetate transaminase [GOT]), perception of pain and fatigue (using a visual analogue scale), skin temperature (using infrared thermography), and jump performance (using countermovement jump test).Main results: CK (p<0.001 and ES=2.1), GOT (p=0.04 and ES=1.3), and perception of fatigue and pain (p<0.001 and ES>1.0) increased 24 h after the half marathon, whereas jump performance decreased (p<0.01 and ES=0.4). No increase of skin temperature was observed in the tests after the competition and no regression model was able to predict physiological stress using skin temperature. Only a bivariate correlation was observed between the 24 h variation (pre -24h) of CK and the skin temperature of the posterior upper limb (p=0.04 and r= 0.5), and between the 48 h variation (pre -48h) of pain perceived and the skin temperature of the knee (p<0.01 and r= 0.6). Significance: In conclusion, follow-up on basal skin temperatures does not seem to be an adequate method to detect physiological stress after a half marathon. In line with the observed results, we recommend caution when interpreting peaks in basal skin temperature in field sports assessments.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Association between physiological stress and skin temperature response after a half marathon

Pérez-Guarner¹,

Priego-Quesada²,

Oficial-Casado³

et al. 2019

Physiol. Meas.

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“…IR photodetection is relevant for numerous applications such as thermal imaging for night vision, chemical analysis using infrared spectroscopy and remote temperature measurements [3][4][5] . Other applications include industrial bioprocess monitoring 6 , dynamic material studies 7 or thermographic medical, biological or sports applications 8,9 . Longer wavelengths, mid-wavelength IR (MWIR) and long-wavelength IR (LWIR), offer possibilities for independent spectral information and passive operation by utilizing background infrared emission.…”

Section: Introductionmentioning

confidence: 99%

Uncooled nano-thermoelectric bolometers for infrared imaging and sensing

Varpula

Murros

Sovanto

et al. 2023

Optical Components and Materials XX

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The state-of-the-art quantum infrared photodetectors have high performance, but obtaining high sensitivity in mid- and long-wavelength infrared (MWIR and LWIR) requires cooling and exotic materials. Whereas thermal detectors offer lower cost without the need for cooling but are typically slower and less sensitive than cooled quantum infrared detectors. Nanothermoelectrics and nanomembranes offer opportunities for enhancing the performance of uncooled MWIR and LWIR imaging and sensing. Similar to thermoelectric detectors, the infrared sensitive signal in those is generated by the thermoelectric effect, providing advantages over resistive bolometers, i.e. less noise sources and zero power consumption in the detector itself. We have recently demonstrated that nano-thermoelectrics provides a route towards high-sensitivity and cost-effective LWIR detection. When the thickness of the thermoelectric polysilicon membrane is reduced, increased phonon scattering leads to reduced thermal conductivity. This gives rise to the high thermoelectric figures of merit determining the detector sensitivity. The speed stems from the low-thermal-mass device design with an integrated metal nanomembrane absorber and the lack of separate support structures. We report integrated circuit concept for the readout of these detectors, and study how the absorber grid geometry determines the device performance. The fabricated devices have thermal time constants, responsivities and specific detectivities D* in the ranges of 190 – 208 μs, 334 – 494 V/W, and (7.9 – 8.7)·107 cmHz1/2/W, respectively. The differences in the device performance originate from the differences in the thermal mass, total resistance, and impedance matching of the absorber grid. By optimization, we expect that D* = 8.3·108 cmHz1/2/W can be reached.

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“…With the introduction of data processing [22][23][24][25][26], the development of technology for biometric measurements [24][25][26][27][28][29][30][31][32][33] and its introduction to equine medicine and care, there is a growing need to develop innovations that support the diagnosis of the rider:horse bodyweight ratio. According to the World Horse Welfare (WHW) and the British Equestrian Federation (BEF), riders should have the possibility to assess if they represent an appropriate bodyweight concerning their horse's size; thus, every effort should be made to develop innovative assessment methods for the rider-horse fit [17].…”

Section: Introductionmentioning

confidence: 99%

Application of the Two-Dimensional Entropy Measures in the Infrared Thermography-Based Detection of Rider: Horse Bodyweight Ratio in Horseback Riding

Domino

Borowska

Zdrojkowski

et al. 2022

Sensors

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As obesity is a serious problem in the human population, overloading of the horse’s thoracolumbar region often affects sport and school horses. The advances in using infrared thermography (IRT) to assess the horse’s back overload will shortly integrate the IRT-based rider-horse fit into everyday equine practice. This study aimed to evaluate the applicability of entropy measures to select the most informative measures and color components, and the accuracy of rider:horse bodyweight ratio detection. Twelve horses were ridden by each of the six riders assigned to the light, moderate, and heavy groups. Thermal images were taken pre- and post-exercise. For each thermal image, two-dimensional sample (SampEn), fuzzy (FuzzEn), permutation (PermEn), dispersion (DispEn), and distribution (DistEn) entropies were measured in the withers and the thoracic spine areas. Among 40 returned measures, 30 entropy measures were exercise-dependent, whereas 8 entropy measures were bodyweight ratio-dependent. Moreover, three entropy measures demonstrated similarities to entropy-related gray level co-occurrence matrix (GLCM) texture features, confirming the higher irregularity and complexity of thermal image texture when horses worked under heavy riders. An application of DispEn to red color components enables identification of the light and heavy rider groups with higher accuracy than the previously used entropy-related GLCM texture features.

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Issues and Future Developments of Infrared Thermography in Sports Science

Cited by 7 publications

References 76 publications

Association between physiological stress and skin temperature response after a half marathon

Association between physiological stress and skin temperature response after a half marathon

Uncooled nano-thermoelectric bolometers for infrared imaging and sensing

Application of the Two-Dimensional Entropy Measures in the Infrared Thermography-Based Detection of Rider: Horse Bodyweight Ratio in Horseback Riding

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