Approximate Entropy and Sample Entropy: A Comprehensive Tutorial [PDF]
Entropy, 2019 Approximate Entropy and Sample Entropy are two algorithms for determining the regularity of series of data based on the existence of patterns. Despite their similarities, the theoretical ideas behind those techniques are different but usually ignored ...
Alfonso Delgado-Bonal, Alexander Marshak
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Approximate Entropy in Canonical and Non-Canonical Fiction [PDF]
Entropy, 2022 Computational textual aesthetics aims at studying observable differences between aesthetic categories of text. We use Approximate Entropy to measure the (un)predictability in two aesthetic text categories, i.e., canonical fiction (‘classics’) and non ...
Mahdi Mohseni +2 more
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New Fast ApEn and SampEn Entropy Algorithms Implementation and Their Application to Supercomputer Power Consumption [PDF]
Entropy, 2020 Approximate Entropy and especially Sample Entropy are recently frequently used algorithms for calculating the measure of complexity of a time series. A lesser known fact is that there are also accelerated modifications of these two algorithms, namely ...
Jiří Tomčala
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A Novel Fault Diagnosis Method for a Power Transformer Based on Multi-Scale Approximate Entropy and Optimized Convolutional Networks [PDF]
EntropyDissolved gas analysis (DGA) in transformer oil, which analyzes its gas content, is valuable for promptly detecting potential faults in oil-immersed transformers.
Haikun Shang +3 more
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Dynamic approximate entropy electroanatomic maps detect rotors in a simulated atrial fibrillation model. [PDF]
PLoS ONE, 2014 There is evidence that rotors could be drivers that maintain atrial fibrillation. Complex fractionated atrial electrograms have been located in rotor tip areas.
Juan P Ugarte +9 more
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Evaluation of Bubble Entropy Using Heart Rate Variability [PDF]
EntropyBubble entropy has established its own place in the research community, representing a new and promising definition of entropy. Based on the work required to order a vector in an embedding space of dimension m, Bubble entropy gives a physical ...
Dimitrios Platakis +2 more
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Combination of R-R Interval and Crest Time in Assessing Complexity Using Multiscale Cross-Approximate Entropy in Normal and Diabetic Subjects [PDF]
Entropy, 2018 The present study aimed at testing the hypothesis that application of multiscale cross-approximate entropy (MCAE) analysis in the study of nonlinear coupling behavior of two synchronized time series of different natures [i.e., R-R interval (RRI) and ...
Ming-Xia Xiao +4 more
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The determination of human creative thinking by employing machine learning classification on EEG signals [PDF]
Frontiers in PsychologyBackground and objectiveTraditional creativity assessments are limited by subjectivity and high labor costs. Although machine learning (ML) offers objective alternatives, its application to EEG-based creativity evaluation remains scarce. This study aimed
Jilin Zou +5 more
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Information Sharing Among Cryptocurrencies: Evidence From Mutual Information and Approximate Entropy During COVID-19 [PDF]
Finance Research Letters, 2022 Ata Assaf, Husni Charif, Ender Demir
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Frontiers in Genetics, 2021 Classification is widely used in gene expression data analysis. Feature selection is usually performed before classification because of the large number of genes and the small sample size in gene expression data.
Hengyi Zhang
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