Measuring body temperature time series regularity using approximate entropy and sample entropy

D. Cuesta-Frau, P. Miró-Martínez, S. Oltra-Crespo, M. Varela-Entrecanales, M. Aboy, D. Novak, Daniel Austin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

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.

Original languageEnglish (US)
Title of host publicationProceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
Pages3461-3464
Number of pages4
DOIs
StatePublished - 2009
Event31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 - Minneapolis, MN, United States
Duration: Sep 2 2009Sep 6 2009

Other

Other31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
CountryUnited States
CityMinneapolis, MN
Period9/2/099/6/09

Fingerprint

Entropy
Body Temperature
Time series
Temperature
Patient Selection
Survivors
Statistical methods

ASJC Scopus subject areas

  • Cell Biology
  • Developmental Biology
  • Biomedical Engineering
  • Medicine(all)

Cite this

Cuesta-Frau, D., Miró-Martínez, P., Oltra-Crespo, S., Varela-Entrecanales, M., Aboy, M., Novak, D., & Austin, D. (2009). Measuring body temperature time series regularity using approximate entropy and sample entropy. In Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 (pp. 3461-3464). [5334602] https://doi.org/10.1109/IEMBS.2009.5334602

Measuring body temperature time series regularity using approximate entropy and sample entropy. / Cuesta-Frau, D.; Miró-Martínez, P.; Oltra-Crespo, S.; Varela-Entrecanales, M.; Aboy, M.; Novak, D.; Austin, Daniel.

Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. 2009. p. 3461-3464 5334602.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cuesta-Frau, D, Miró-Martínez, P, Oltra-Crespo, S, Varela-Entrecanales, M, Aboy, M, Novak, D & Austin, D 2009, Measuring body temperature time series regularity using approximate entropy and sample entropy. in Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009., 5334602, pp. 3461-3464, 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009, Minneapolis, MN, United States, 9/2/09. https://doi.org/10.1109/IEMBS.2009.5334602
Cuesta-Frau D, Miró-Martínez P, Oltra-Crespo S, Varela-Entrecanales M, Aboy M, Novak D et al. Measuring body temperature time series regularity using approximate entropy and sample entropy. In Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. 2009. p. 3461-3464. 5334602 https://doi.org/10.1109/IEMBS.2009.5334602
Cuesta-Frau, D. ; Miró-Martínez, P. ; Oltra-Crespo, S. ; Varela-Entrecanales, M. ; Aboy, M. ; Novak, D. ; Austin, Daniel. / Measuring body temperature time series regularity using approximate entropy and sample entropy. Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. 2009. pp. 3461-3464
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