Analysis of Risk for Repetitive Work Using Thermography Sensory

García, Alejandra; Camargo, Cláudia de Barros; Olguín, J. E.; Barreras, Juan Andrés López

doi:10.1007/978-3-319-60483-1_24

Cited by 4 publications

(3 citation statements)

References 10 publications

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“…In other research carried out by García, A., C. Camargo, J. Olguín, and J.A.L. Barreras [ 51 ], highly repetitive activities were analyzed by means of sensory thermography, in which wrist temperatures were evaluated, and, in all cases, temperature increases of more than 0.6 °C in 15 min were identified. In the same context, in the research of Camargo, C., J. Ordorica, E.J.…”

Section: Resultsmentioning

confidence: 99%

Quantitative Models for Prediction of Cumulative Trauma Disorders Applied to the Maquiladora Industry

Cázares-Manríquez

Camargo-Wilson

Vardasca

et al. 2021

IJERPH

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Temperature gradient changes on the surface of the skin or in the middle of the body are signs of a disease. The aim of this study is to develop quantitative models for the prediction of cumulative trauma disorders (CTDs) arising from highly repetitive activities, considering risk factors, such as age, gender, body mass index (BMI), blood pressure (BP), respiratory rate (RR), and heart rate, to prevent injuries in manufacturing factory operators. This research involved 19 individuals from the area of sanding and 14 individuals from the area of tolex in manufacturing factories who had their vital signs and somatometry taken, as well as thermal images of their hands in the dorsal and palmar areas; an evaluation by the OCRA method was also applied. Factors such as BP and heart rate were determined to significantly influence the injuries, but no strong association with BMI was found. Quadratic regression models were developed, the estimates of which were adequately adjusted to the variable (R2 and R2 adjusted > 0.70). When integrating the factors of the OCRA method to the generated models, a better fit was obtained (R2 and adjusted R2 > 0.80). In conclusion, the participants who present levels out of the normal range in at least one of the factors have high probabilities of developing injuries in their wrists.

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Section: Resultsmentioning

confidence: 99%

Quantitative Models for Prediction of Cumulative Trauma Disorders Applied to the Maquiladora Industry

Cázares-Manríquez

Camargo-Wilson

Vardasca

et al. 2021

IJERPH

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“…In addition, the blood pressure is high in artery than vein and this causing blood and heat flow slower in venous compartment than the arterial one. Given that, there are several factors which affect the BFIRT signal, Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 8 August 2018 doi:10.20944/preprints201808.0152.v1 such as regional blood flow from the neighboring veins, highly tissue perfusion rate at the onset of thermal excitation [39]. Therefore, selection of the defined vessel profile will minimize the effect of such disturbance.…”

Section: Bfirt Detection Objectivementioning

confidence: 99%

“…The resultant peripheral vasoconstriction following changes in skin temperature from cooling and closing of local vasculature promote a larger central circulatory reserve that may be beneficial to reduce cardiac stress due to the increased venous return and stroke volume (SV) [41,47]. While the cardiovascular explanation is certainly plausible of the limited studies that have investigated post-exercise cooling [48], few studies report any differences in heart rates that are not explained by the passive nature of cold water immersion or differences in any cardiovascular measure during ensuing bouts of exercise [39,49].…”

Section: Penne's Bioheat Transfer Modelmentioning

confidence: 99%

Thermography Quantification of Human Perfusion Thermal Signature

AlZubaidi¹,

Hussein²,

Basil³

et al. 2018

Preprint

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Blood perfusion quantification is important vital parameters in different diagnostic procedure, using infrared thermography imaging; it is reliable to use this technique as non-contact, non-invasive blood flow measurement method. Therefore, we developed a measurement protocol for blood flow over the arm's anterior surface. By using the superficial brachial and radial veins to be monitored under the impact of cold-excitation of (2 °C to 5 °C), the blood perfusion signal was detected using thermal imager of long-wave infrared spectral range (LWIR, 7μm - 14 μm). The simulation of Penne's bioheat transfer equation was performed to be compared with results obtained from the infrared thermography. Furthermore, the proposed blood flow monitoring using external adjusting of the excitation temperature, by using (cold-compress, or cold air-stream) applied to the region under testing. The signal detected resembles to the hemodynamic pulse of the superficial veins, in the definition of systolic and diastolic phases of the cardiac cycle. Moreover, statistical analysis applied to the BFIRT signals from 24 subjects to estimate the skin's mean temperature after recovery from the thermal excitation.

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