Authors:
S. Y. Sim
1
;
H. J. Baek
1
;
G. S. Chung
1
and
K. S. Park
2
Affiliations:
1
Seoul National University, Korea, Republic of
;
2
College of Medicine and Seoul National University, Korea, Republic of
Keyword(s):
Core body temperature, Non-invasive thermometer, Autoregressive (AR) model, Curve fitting method, Dual-heat-flux thermometer.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computer Vision, Visualization and Computer Graphics
;
Medical Image Detection, Acquisition, Analysis and Processing
Abstract:
Newly developed dual-heat-flux thermometer is expected to be useful in measuring core body temperature noninvasively. However, as it takes more than 30 min to measure, the additional process is needed to reduce the measure time. In this study, we made a dual-heat-flux thermometer to verify its performance and obtained an hour-long data from three subjects. Dual-heat-flux thermometer estimated the core body temperature very well in all subjects. In addition, least squares curve-fitting method predicted deep body temperature well with within 100 sec data. Autoregressive model with 10 sec data also seemed to be suitable method for shortening measure time of dual-heat-flux thermometer.