scholarly journals Comparison between tympanic and anal temperature with a clinical infrared ray thermometer in dogs

2006 ◽  
Vol 58 (4) ◽  
pp. 503-505 ◽  
Author(s):  
G.G.S. Wiedemann ◽  
M.C. Scalon ◽  
G. Paludo ◽  
I.O. Silva ◽  
V. Boere

A clinical thermometer of infrared rays was used twice to record consecutively the temperature of the tympanic membrane in each ear and in the anus of 53 dogs. Temperatures did not differ significantly between organs, and were strongly correlated. The anal temperature measurement with an infrared thermometer in dogs is feasible and trustworthy, as well as the thermal checking of tympanic temperature.

F1000Research ◽  
2022 ◽  
Vol 11 ◽  
pp. 13
Author(s):  
Chakrapani Mahabala ◽  
Pradeepa H. Dakappa ◽  
Arjun R. Gupta

Background: Sublingual temperature measurement is a quick and accurate representation of oral temperature and corresponds closely with core temperature. Sub-lingual temperature measurement using non-contact infrared thermometers has not been studied for this purpose and if accurate they would be a reliable and convenient way of recording temperature of a patient very quickly. The aim of the study was to evaluate the utility of recording sublingual temperature using an infrared non-contact thermometer and establish its accuracy by comparing the readings with tympanic thermometer recordings. Methods: This cross-sectional study was carried out in 29 patients (328 paired recordings from sublingual and tympanic sites simultaneously). Subjects were requested to keep their mouth closed for five minutes before recording the temperature. Sublingual recordings were performed for each patient at different times of the day using an infrared thermometer. The infrared thermometer was quickly brought 1cm away from the sublingual part of the tongue and the recordings were then done immediately. Readings were compared with the corresponding tympanic temperature. Results: The non-contact sublingual temperature correlated very closely with tympanic temperature (r=0.86, p<0.001). The mean difference between the infrared sublingual and tympanic temperature was 0.21°C (standard deviation [SD]:0.48°C, 95% confidence interval [CI] of 0.16-0.27). The intra-class correlation co-efficient (ICC) between core and sublingual temperatures was 0.830 (95% CI: 0.794 to 0.861) p<0.001. The sensitivity of sublingual IR (infrared) temperature of 37.65°C was 90% and specificity was 89% for core temperature >38°C. Conclusions: This innovative modification of using the forehead infrared thermometer to measure the sublingual temperature offers an accurate, rapid and non-contact estimation of core temperature.


1996 ◽  
Vol 4 (2) ◽  
pp. 143-151 ◽  
Author(s):  
SeonAe Yeo ◽  
Millie Scarbough

The purpose of this study was to assess the effect of exercise-induced hyperthermia on brain and deep trunk temperature measurement in order to determine the optimal temperature site of the body for varying nursing practices in outpatient clinical settings. Eight women, 18 to 50 years old (30.9 +/- 12.6; mean +/- SD), participated in the study. Subjects were asked to perform their regular aerobic exercise in a natural environment while body temperature (ear and rectal) and heart rate (HR) were measured simultaneously and repeatedly before, during, and after exercise. Glass mercury rectal thermometers were used for measurement of deep trunk temperature, an infrared tympanic membrane thermometer for measurement of brain temperature, and a portable heart rate monitor for monitoring heart rate. Rectal temperature was higher than ear temperature for all but one of the 40 pairs of observation. The time pattern varied for the two modes of temperature (F=9.67; df 4,28; p<.001). Rectal temperature changed over time (F=7.86; df 4, 28;p<.002), and ear temperature did not (F=1 .5; df 4,28; p=.25), indicating that ear temperature did not respond to exercise. While rectal temperature was strongly correlated with HR (r=.60), ear temperature did not correlate either with rectal temperature (r=.02) or with HR (r=.08). Thus deep trunk temperature responds to exercise at moderate levels. On the other hand, ear temperature does not increase due to exercise. Ear temperature is not a valid indicator of trunk temperature during and immediately after exercise.


2013 ◽  
Vol 6 (1) ◽  
pp. 194 ◽  
Author(s):  
Gasim I Gasim ◽  
Imad R Musa ◽  
Mohamed T Abdien ◽  
Ishag Adam

PEDIATRICS ◽  
1992 ◽  
Vol 90 (4) ◽  
pp. 649-650
Author(s):  
DAVID ALEXANDER ◽  
THOMAS TERNDRUP

To the Editor.— In the March 1992 issue of Pediatrics, Freed and Fraley published an article entitled, "Lack of Agreement of Tympanic Membrane Temperature Assessments with Conventional Methods in a Private Practice Setting."1 This study concluded that the FIRST Temp thermometer was unreliable, compared with conventional methods of temperature-taking in the private pediatric setting. I would like to raise two methodologic concerns which may have influenced their results. Under "Methods," the authors state that their tympanic thermometer provided a choice of two modes: "tympanic" and "surface," They further state that the tympanic mode was used for all temperature measurements.


Author(s):  
Agus Sudianto ◽  
Zamberi Jamaludin ◽  
Azrul Azwan Abdul Rahman ◽  
Sentot Novianto ◽  
Fajar Muharrom

Manufacturing process of metal part requires real-time temperature monitoring capability to ensure high surface integrity is upheld throughout the machining process. A smart temperature measurement and monitoring system for manufacturing process of metal parts is necessary to meet quality and productivity requirements. A smart temperature measurement can be applied in machining processes of conventional, non-conventional and computer numerical control (CNC) machines. Currently, an infrared fusion based thermometer Fluke Ti400 was employed for temperature measurement in a machining process. However, measured temperature in the form of data list with adjustable time range setting is not automatically linked to the computer for continuous monitoring and data analysis purposes. For this reason, a smart temperature measurement system was developed for a CNC milling operation on aluminum alloy (AA6041) using a MLX90614 infrared thermometer sensor operated by Arduino. The system enables data linkages with the computer because MLX90614 is compatible and linked to Microsoft Exel via the Arduino. This paper presents a work-study on the performance of this Arduino based temperature measurement system for dry milling process application. Here, the Arduino based temperature measurement system captured the workpiece temperature during machining of Aluminum Alloy (AA6041) and data were compared with the Fluke Ti400 infrared thermometer. Measurement results from both devices showed similar accuracy level with a deviation of ± 2 oC. Hence, a smart temperature measurement system was succeesfully developed expanding the scopes of current system setup.


2016 ◽  
Vol 25 (9) ◽  
pp. 490-493 ◽  
Author(s):  
Vishal Salota ◽  
Zuzana Slovakova ◽  
Candilaria Panes ◽  
Anitha Nundlall ◽  
Chulananda Goonasekera

1986 ◽  
Vol 61 (1) ◽  
pp. 98-102 ◽  
Author(s):  
K. Shiraki ◽  
N. Konda ◽  
S. Sagawa

Esophageal, rectal, tympanic, and central blood temperature, i.e., pulmonary artery and aortic arch, were recorded in three patients during iatrogenic whole-body hyperthermia for the treatment of advanced malignant metastatic cancer. Aortic temperature closely followed changes in pulmonary arterial temperature, with an average delay time of 27 s. Esophageal temperature reflected quantitatively and more quickly (avg lag time, 80 s) the temperature changes in the pulmonary artery than tympanic membrane temperature. Tympanic temperature was consistently lower than the blood temperature of the heart during steady state. Therefore it is suggested that esophageal temperature is a preferable index of central blood temperature. Additionally, measurement of esophageal temperature can be made more easily and safely than tympanic membrane temperature.


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