Title :
Measuring body temperature time series regularity using approximate entropy and sample entropy
Author :
Cuesta-Frau, D. ; Miró-Martínez, P. ; Oltra-Crespo, S. ; Varela-Entrecanales, M. ; Aboy, M. ; Novak, D. ; Austin, D.
Author_Institution :
Technol. Inst. of Inf., Polytech. Univ. of Valencia, Alcoi, Spain
Abstract :
Approximate Entropy (ApEn) and Sample Entropy (SampEn) have proven to be a valuable analyzing tool for a number of physiological signals. However, the characterization of these metrics is still lacking. We applied ApEn and SampEn to body temperature time series recorded from patients in critical state. This study was aimed at finding the optimal analytical configuration to best distinguish between survivor and non-survivor records, and at gaining additional insight into the characterization of such tools. A statistical analysis of the results was conducted to support the parameter and metric selection criteria for this type of physiological signal.
Keywords :
biothermics; entropy; statistical analysis; temperature measurement; time series; ApEn; SampEn; approximate entropy; body temperature measurement; physiological signals; sample entropy; statistical analysis; time series; Algorithms; Artificial Intelligence; Body Temperature; Computer Simulation; Computers; Entropy; Humans; Intensive Care; Intensive Care Units; Models, Statistical; Monitoring, Physiologic; Pattern Recognition, Automated; Signal Processing, Computer-Assisted; Software; Treatment Outcome;
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2009.5334602
