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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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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Fast computation of approximate entropy
Computer Methods and Programs in Biomedicine, 2008 The approximate entropy (ApEn) is a measure of systems complexity. The implementation of the method is computationally expensive and requires execution time analogous to the square of the size of the input signal. We propose here a fast algorithm which speeds up the computation of approximate entropy by detecting early some vectors that are not similar
George Manis
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On Quantization Errors in Approximate and Sample Entropy [PDF]
Entropy, 2021 Approximate and sample entropies are acclaimed tools for quantifying the regularity and unpredictability of time series. This paper analyses the causes of their inconsistencies.
Dragana Bajić, Nina Japundžić-Žigon
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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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Approximate entropy of network parameters [PDF]
Physical Review E, 2012 11 pages, 5 EPS ...
West, James +3 more
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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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On the Standardization of Approximate Entropy: Multidimensional Approximate Entropy Index Evaluated on Short-Term HRV Time Series [PDF]
Complexity, 2018 Background. Nonlinear heart rate variability (HRV) indices have extended the description of autonomic nervous system (ANS) regulation of the heart.
Juan Bolea, Raquel Bailón, Esther Pueyo
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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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