Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Nociception01:44

Nociception

32.4K
Nociception—the ability to feel pain—is essential for an organism’s survival and overall well-being. Noxious stimuli such as piercing pain from a sharp object, heat from an open flame, or contact with corrosive chemicals are first detected by sensory receptors, called nociceptors, located on nerve endings. Nociceptors express ion channels that convert noxious stimuli into electrical signals. When these signals reach the brain via sensory neurons, they are perceived as pain.
32.4K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Complexity analysis of heart rate variability: application to Holter monitoring in patients with hereditary angioedema due to C1 inhibitor deficiency.

Physiological measurement·2026
Same author

Complexity of Cardiovascular Regulation and Its Association with Physical and Cardiorespiratory Fitness in Men with Type 2 Diabetes Mellitus.

Healthcare (Basel, Switzerland)·2026
Same author

Accounting for squared coherence marginally improves the discriminative power of frequency domain cerebral autoregulation markers in surgical aortic valve replacement patients.

Medical & biological engineering & computing·2026
Same author

Metabolic signatures of the integrated profile of cardiovascular autonomic modulation and cardiorespiratory fitness in apparently healthy individuals.

Physiological reports·2026
Same author

State Space Correspondence and Cross-Entropy Methods in the Assessment of Bidirectional Cardiorespiratory Coupling in Heart Failure.

Entropy (Basel, Switzerland)·2025
Same author

Cerebrovascular variability interactions after acute ischemic stroke: insights from directionality analysis based on transfer entropy.

Journal of applied physiology (Bethesda, Md. : 1985)·2025

Related Experiment Video

Updated: Nov 27, 2025

Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity
07:28

Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity

Published on: January 21, 2017

7.2K

Refined Multiscale Entropy Using Fuzzy Metrics: Validation and Application to Nociception Assessment.

José F Valencia1, Jose D Bolaños1, Montserrat Vallverdú2,3,4

  • 1Department of Electronic Engineering, Universidad de San Buenaventura, Cali 760033, Colombia.

Entropy (Basel, Switzerland)
|December 3, 2020
PubMed
Summary

Fuzzy entropy (FuzEn) offers improved complexity analysis in refined multiscale entropy (RMSE) applications, especially for short time series. FuzEn demonstrates better consistency than sample entropy (SampEn) in both simulated and real-world data.

Keywords:
complexityconditional entropyelectroencephalographyfuzzy entropypain assessmentrefined multiscale entropysample entropysedation-analgesia

More Related Videos

Open-Source Real-Time Closed-Loop Electrical Threshold Tracking for Translational Pain Research
10:28

Open-Source Real-Time Closed-Loop Electrical Threshold Tracking for Translational Pain Research

Published on: April 21, 2023

1.5K
Measuring Changes in Tactile Sensitivity in the Hind Paw of Mice Using an Electronic von Frey Apparatus
07:49

Measuring Changes in Tactile Sensitivity in the Hind Paw of Mice Using an Electronic von Frey Apparatus

Published on: December 19, 2013

34.9K

Related Experiment Videos

Last Updated: Nov 27, 2025

Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity
07:28

Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity

Published on: January 21, 2017

7.2K
Open-Source Real-Time Closed-Loop Electrical Threshold Tracking for Translational Pain Research
10:28

Open-Source Real-Time Closed-Loop Electrical Threshold Tracking for Translational Pain Research

Published on: April 21, 2023

1.5K
Measuring Changes in Tactile Sensitivity in the Hind Paw of Mice Using an Electronic von Frey Apparatus
07:49

Measuring Changes in Tactile Sensitivity in the Hind Paw of Mice Using an Electronic von Frey Apparatus

Published on: December 19, 2013

34.9K

Area of Science:

  • Complexity analysis
  • Entropy measures
  • Time series analysis

Background:

  • Refined multiscale entropy (RMSE) commonly uses sample entropy (SampEn) to assess time series complexity.
  • SampEn's dependency on data length and standard deviation limits its application.
  • Fuzzy entropy (FuzEn) and its variants offer potential improvements over SampEn.

Purpose of the Study:

  • To evaluate FuzEn and its variants (TFuzEn, TRFuzEn, IFuzEn, ITFuzEn) within the RMSE framework.
  • To compare the performance of FuzEn-based RMSE with SampEn-based RMSE.
  • To assess the consistency and applicability of these entropy measures across varying data lengths and real-world physiological signals.

Main Methods:

  • Application of FuzEn, TFuzEn, TRFuzEn, IFuzEn, and ITFuzEn for RMSE computation.
  • Testing on synthetic time series of varying lengths to assess consistency.
  • Analysis of electroencephalograms (EEGs) from patients undergoing sedation-analgesia, correlating with pain responses to stimuli.

Main Results:

  • FuzEn-based RMSE showed similar performance to SampEn-based RMSE with long time series.
  • FuzEn-based RMSE demonstrated superior consistency compared to SampEn-based RMSE with short time series, validated in simulations and EEG data.
  • Significant differences in FuzEn metrics were observed based on data length and pain responses in patient EEGs.

Conclusions:

  • FuzEn is a robust alternative to SampEn for RMSE, particularly advantageous for short time series analysis.
  • FuzEn variants require careful consideration, especially for deterministic processes or long-scale nociception prediction.
  • The study highlights FuzEn's potential for more reliable complexity assessment in physiological data.