Paper Info
Title
An Approach of Reducing Measure Time of Noninvasive Thermometer - Application of Curve-fitting Method and Autoregressive Model for Reducing the Measure Time of Dual-heat-flux Thermometer.
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.
Year
Venue
Keywords
2011
BIOSIGNALS 2011
Core body temperature,Non-invasive thermometer,Autoregressive (AR) model,Curve fitting method,Dual-heat-flux thermometer
Field
DocType
Citations 
Computer vision,Autoregressive model,Heat flux,Curve fitting,Thermometer,Computer science,Artificial intelligence,Acoustics
Conference
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
S. Y. Sim1142.60
Hyun Jae Baek2517.46
Gih Sung Chung3405.75
Kwang Suk Park426646.43