Infrared thermography based studies on the effect of age on localized cold stress induced thermoregulation in human

Lahiri, B.B.; Bagavathiappan, S.; Nishanthi, K.; Mohanalakshmi, K.; Veni, L.; Saumya, .; Yacin, S. Mohamed; Philip, John

doi:10.1016/j.infrared.2016.04.023

Cited by 18 publications

(5 citation statements)

References 44 publications

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“…It can be concluded that the system recognized faces without masks as well as those with masks, including the shape and color of the masks. Additionally, the light intensity around the face area affects the recall value, and it is similar to the results of previous research works [33], [35]. The accuracy and recall values and the Fm depend on the mask type and the material used.…”

Section: A Characteristics Of Thermal Camera Detectionsupporting

confidence: 87%

Roboswab: A Covid-19 Thermal Imaging Detector Based on Oral and Facial Temperatures

Astawa

Subagia

Vista

et al. 2023

JOIV : Int. J. Inform. Visualization

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The SARS-CoV-2 virus has been the precursor of the coronavirus disease (COVID-19). The symptoms of COVID-19 begin with the common cold and then become very severe, such as those of Middle East Respiratory Syndrome (MERS) and Severe Acute Respiratory Syndrome (SARS). Currently, polymerase chain reaction (PCR) is used to detect COVID-19 accurately, but it causes some side effects to the patient when the test is performed. Therefore, the proposed "Roboswab" was developed that uses thermal imaging to measure non-contact facial and oral temperature. This study focuses on the performance of the proposed equipment in measuring facial and oral temperature from various distances. Face detection also involves checking whether the subject is wearing a mask or not. Image processing methods with thermal imaging and robotic manipulators are integrated into a contact-free detector that is inexpensive, accurate, and painless. This research has successfully detected masked or non-masked faces and accurately detected facial temperature. The results showed that the accurate measurement of facial temperature with a mask is 90% with an error of +/- 0.05%, while it was 100% without a mask. On the other hand, the oral temperature was measured with 97% accuracy and an error of less than 5%. The optimal distance of the Roboswab to the face for measuring temperature is an average of 60 cm. The Roboswab tool equipped with masked or non-masked face detection can be used for early detection of COVID-19 without direct contact with patients.

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Section: A Characteristics Of Thermal Camera Detectionsupporting

confidence: 87%

Roboswab: A Covid-19 Thermal Imaging Detector Based on Oral and Facial Temperatures

Astawa

Subagia

Vista

et al. 2023

JOIV : Int. J. Inform. Visualization

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“…It is now possible to generate a preliminary diagnosis from thermal images since abnormal thermal patterns are easily identifiable by IT [ 23 ]. Another advantage is that the IT can measures the temperature distribution through an image and monitor the surface of interest [ 24 ]. Gold et al [ 25 ] showed that there is a moderate correlation between blood flow volume and mean skin temperature during a typing task in which the speed of activity affects both factors.…”

Section: Introductionmentioning

confidence: 99%

Infrared thermal imaging monitoring on hands when performing repetitive tasks: An experimental study

et al. 2021

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The monitoring of infrared thermal images is reported to analyze changes in skin temperature in the hand fingers when repetitive work is performed to know which finger has a greater risk of injury, besides, the recovery time is analyzed regarding the initial temperature and its relationship with age, sex, weight, height if practice sports, and Body Mass Index (BMI) per individual. For the above, an experimental test was carried out for 10 minutes on a repetitive operation that takes place in the telecommunications industry and 39 subjects participated in which an infrared thermal image of the dorsal and palmar part of both hands was taken in periods of 5 minutes after the 10-minute test has elapsed. The results show that none of the participants recovered their initial temperature after 10 minutes of the experimental test. In addition, it was found that there is a relationship between skin temperature and sex, and that age influences the recovery of temperature. On the other hand, the thumb, index, and middle fingers have a higher risk of injury in the analyzed task. It is concluded that performing repetitive work with all the fingers of the hand does not show that all they have the same risk of injury, besides that, not all the variables studied affect the recovery of temperature and its behavior.

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“…CST consist of cooling the skin to evaluate the posterior vascularization capacity [12,13]. During CST, a higher sympathetic activity results in peripheral vasoconstriction, which facilitates skin temperature reduction [14][15][16]. After finishing the CST, skin vasodilation increases resulting in a rewarming of skin temperature [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

“…During CST, a higher sympathetic activity results in peripheral vasoconstriction, which facilitates skin temperature reduction [14][15][16]. After finishing the CST, skin vasodilation increases resulting in a rewarming of skin temperature [14][15][16]. Although skin temperature rewarming depends mainly on skin blood flow, it can also occur passively from the environment and deeper tissues [13] and is influenced by the duration of the cooling phase [17].…”

Section: Introductionmentioning

confidence: 99%

Reproducibility of Skin Temperature Response after Cold Stress Test Using the Game Ready System: Preliminary Study

Priego-Quesada

Gandía-Soriano

Pellicer-Chenoll

et al. 2021

IJERPH

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The objective of this preliminary study was to determine the reproducibility of lower limbs skin temperature after cold stress test using the Game Ready system. Skin temperature of fourteen participants was measured before and after cold stress test using the Game Ready system and it was repeated the protocol in four times: at 9:00, at 11:00, at 19:00, and at 9:00 h of the posterior day. To assess skin temperature recovery after cold stress test, a logarithmic equation for each region was calculated, and constant (β0) and slope (β1) coefficients were obtained. Intraclass correlation coefficient (ICC), standard error (SE), and within-subject coefficient of variation (CV) were determined. No differences were observed between measurement times in any of the regions for the logarithmic coefficients (p > 0.38). Anterior thigh (β0 ICC 0.33–0.47; β1 ICC 0.31–0.43) and posterior knee (β0 ICC 0.42–0.58; β1 ICC 0.28–0.57) were the regions with the lower ICCs, and the other regions presented values with a fair and good reproducibility (ICC > 0.41). Posterior leg was the region with the better reproducibility (β0 ICC 0.68–0.78; β1 ICC 0.59–0.74; SE 3–4%; within-subject CV 7–12%). In conclusion, cold stress test using Game Ready system showed a fair and good reproducibility, especially when the posterior leg was the region assessed.

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Infrared thermography based studies on the effect of age on localized cold stress induced thermoregulation in human

Cited by 18 publications

References 44 publications

Roboswab: A Covid-19 Thermal Imaging Detector Based on Oral and Facial Temperatures

Roboswab: A Covid-19 Thermal Imaging Detector Based on Oral and Facial Temperatures

Infrared thermal imaging monitoring on hands when performing repetitive tasks: An experimental study

Reproducibility of Skin Temperature Response after Cold Stress Test Using the Game Ready System: Preliminary Study

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