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A new noninvasive technique for heat-flux-based deep body thermometry together with possible estimation of thermal resistance of the skin tissue.

Authors :
Yamakoshi T
Rolfe P
Yamakoshi KI
Source :
Medical & biological engineering & computing [Med Biol Eng Comput] 2024 Apr; Vol. 62 (4), pp. 1229-1246. Date of Electronic Publication: 2024 Jan 02.
Publication Year :
2024

Abstract

A new noninvasive core-thermometry technique, based on the use of two heat flux sensors with different very low thermal resistances, is proposed. Thermodynamically derived equations, using a pair of skin temperatures and heat fluxes detected from the sensors, can give the estimated deep body temperature (DBT) together with thermal resistance of the skin tissue itself. The validity and accuracy of this method are firstly investigated through in vitro experiments using a tissue phantom model and, secondly, as in vivo comparisons with sublingual (T <subscript>sub</subscript> ) or rectal temperature (T <subscript>rec</subscript> ) measurements in 9 volunteers, attaching the sensors around the upper sternum or the nape. Model experiments showed a good agreement between the measured and estimated temperatures, ranging from approximately 36 to 42 ℃. In vivo experiments demonstrated linear correlations between the estimated DBT and both T <subscript>sub</subscript> and T <subscript>rec</subscript> values, though the estimated DBT was 0.13 ℃ higher than T <subscript>sub</subscript> and 0.42 ℃ lower than T <subscript>rec</subscript> on average. The results also strongly suggested the possibility to estimate the tissue thermal resistance; this is discussed herein. Although further in vivo experiments under various environmental conditions are necessary, this method appears highly promising as an accurate, useful and convenient core-thermometry system for medical and healthcare settings.<br /> (© 2023. International Federation for Medical and Biological Engineering.)

Details

Language :
English
ISSN :
1741-0444
Volume :
62
Issue :
4
Database :
MEDLINE
Journal :
Medical & biological engineering & computing
Publication Type :
Academic Journal
Accession number :
38163835
Full Text :
https://doi.org/10.1007/s11517-023-02991-z