Literature DB >> 14509309

Comparison of digital infrared thermal imaging (DITI) with contact thermometry: pilot data from a sleep research laboratory.

Cameron J van den Heuvel1, Sally A Ferguson, Drew Dawson, Saul S Gilbert.   

Abstract

Body temperature regulation is associated with changes in sleep propensity; therefore, sleep research often necessitates concomitant assessment of core and skin surface temperatures. Attachment to thermistors may limit the range of movement and comfort, introducing a potential confound that may prolong sleep initiation or increase wakefulness after sleep onset. It has been suggested that contact thermometry may artificially increase temperatures due to insulation. We report here on a method of remote sensing skin temperatures using a digital infrared thermal imaging (DITI) system, which can reduce these potential confounds. Using data from four healthy young adult volunteers (age = 26.8 +/- 2.2 years; mean +/- SEM), we compared measures of skin temperature using a DITI system with contact thermometry methods already in use in our sleep laboratory. A total of 416 skin temperature measurements (T(sk)) were collected from various sites, resulting in an overall correlation coefficient of R = 0.99 (p < 0.0001) between both methods. Regression analyses for individuals resulted in correlation coefficients between 0.80 and 0.97. These pilot results suggest that DITI can assess skin surface temperatures as accurately as contact thermometry, provided the interest is in relative and not absolute temperature changes. This and some other important limitations are discussed in more detail hereafter.

Mesh:

Year:  2003        PMID: 14509309     DOI: 10.1088/0967-3334/24/3/308

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  5 in total

1.  A comparison between conductive and infrared devices for measuring mean skin temperature at rest, during exercise in the heat, and recovery.

Authors:  Aaron J E Bach; Ian B Stewart; Alice E Disher; Joseph T Costello
Journal:  PLoS One       Date:  2015-02-06       Impact factor: 3.240

2.  Expected accuracy of proximal and distal temperature estimated by wireless sensors, in relation to their number and position on the skin.

Authors:  Enrico Longato; Maria Garrido; Desy Saccardo; Camila Montesinos Guevara; Ali R Mani; Massimo Bolognesi; Piero Amodio; Andrea Facchinetti; Giovanni Sparacino; Sara Montagnese
Journal:  PLoS One       Date:  2017-06-30       Impact factor: 3.240

3.  Face Alignment in Thermal Infrared Images Using Cascaded Shape Regression.

Authors:  Kent Nagumo; Tomohiro Kobayashi; Kosuke Oiwa; Akio Nozawa
Journal:  Int J Environ Res Public Health       Date:  2021-02-12       Impact factor: 3.390

4.  Predicting Deep Body Temperature (Tb) from Forehead Skin Temperature: Tb or Not Tb?

Authors:  Jason T Fisher; Urša Ciuha; Michael J Tipton; Leonidas G Ioannou; Igor B Mekjavic
Journal:  Sensors (Basel)       Date:  2022-01-22       Impact factor: 3.576

5.  Thermography and thermoregulation of the face.

Authors:  Jan Rustemeyer; Jürgen Radtke; Andreas Bremerich
Journal:  Head Face Med       Date:  2007-03-15       Impact factor: 2.151

  5 in total

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