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Refined multiscale entropy using fuzzy metrics: validation and application to nociception assessmentt

Author
Valencia, J.; Bolaños , J.; Vallverdu, M.; Jensen, E.W.; Porta, A.; Gambus, P.
Type of activity
Journal article
Journal
Entropy: international and interdisciplinary journal of entropy and information studies
Date of publication
2019-07-18
Volume
21
Number
7
First page
706-1
Last page
706-21
DOI
10.3390/e21070706
Repository
http://hdl.handle.net/2117/168661 Open in new window
URL
https://www.mdpi.com/1099-4300/21/7/706 Open in new window
Abstract
The refined multiscale entropy (RMSE) approach is commonly applied to assess complexity as a function of the time scale. RMSE is normally based on the computation of sample entropy (SampEn) estimating complexity as conditional entropy. However, SampEn is dependent on the length and standard deviation of the data. Recently, fuzzy entropy (FuzEn) has been proposed, including several refinements, as an alternative to counteract these limitations. In this work, FuzEn, translated FuzEn (TFuzEn), tran...
Citation
Valencia, J. [et al.]. Refined multiscale entropy using fuzzy metrics: validation and application to nociception assessmentt. "Entropy: international and interdisciplinary journal of entropy and information studies", 18 Juliol 2019, vol. 21, núm. 7, p. 706-1-706-21.
Keywords
Complexity, Conditional entropy, Electroencephalography, Fuzzy entropy, Pain assessment, Refined multiscale entropy, Sample entropy, Sedation-analgesia
Group of research
B2SLab - Bioinformatics and Biomedical Signals Laboratory
CREB - Biomedical Engineering Research Centre

Participants

  • Valencia Murillo, Jose Fernando  (author)
  • Bolaños, José D  (author)
  • Vallverdú Ferrer, Montserrat  (author)
  • Jensen, Erik Weber  (author)
  • Porta, Alberto  (author)
  • Gambus, Pedro L.  (author)

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