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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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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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Postural threat increases sample entropy of postural control [PDF]
Frontiers in Neurology, 2023 IntroductionPostural threat elicits modifications to standing balance. However, the underlying neural mechanism(s) responsible remain unclear. Shifts in attention focus including directing more attention to balance when threatened may contribute to the ...
Olivia M. Fischer +6 more
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A Super Fast Algorithm for Estimating Sample Entropy [PDF]
Entropy, 2022 Sample entropy, an approximation of the Kolmogorov entropy, was proposed to characterize complexity of a time series, which is essentially defined as −log(B/A), where B denotes the number of matched template pairs with length m and A denotes the number ...
Weifeng Liu, Ying Jiang, Yuesheng Xu
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Cardiac arrhythmia detection using cross‐sample entropy measure based on short and long RR interval series [PDF]
Journal of Arrhythmia, 2023 Background Accurate arrhythmia (atrial fibrillation (AF) and congestive heart failure (CHF)) detection is still a challenge in the biomedical signal‐processing field.
Kanchan Sharma, Ramesh Kumar Sunkaria
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Multiscale Sample Entropy of Two-Dimensional Decaying Turbulence [PDF]
Entropy, 2021 Multiscale sample entropy analysis has been developed to quantify the complexity and the predictability of a time series, originally developed for physiological time series. In this study, the analysis was applied to the turbulence data. We measured time
Ildoo Kim
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Multiband Spectrum Sensing Based on the Sample Entropy [PDF]
Entropy, 2022 Cognitive radios represent a real alternative to the scarcity of the radio spectrum. One of the primary tasks of these radios is the detection of possible gaps in a given bandwidth used by licensed users (called also primary users).
Yanqueleth Molina-Tenorio +2 more
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Sample entropy of oxygen saturation in preterm infants [PDF]
Scientific ReportsBronchopulmonary dysplasia (BPD) is the most common respiratory complication after preterm birth. Early preventive measures are important to reduce further damage on lung tissue.
Leandra Ramin-Wright +5 more
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Sample Entropy Computation on Signals with Missing Values [PDF]
EntropySample entropy embeds time series into m-dimensional spaces and estimates entropy based on the distances between points in these spaces. However, when samples can be considered as missing or invalid, defining distance in the embedding space becomes ...
George Manis +2 more
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Functional MRI Signal Complexity Analysis Using Sample Entropy [PDF]
Frontiers in Neuroscience, 2020 Resting-state functional magnetic resonance imaging (rs-fMRI) is an immensely powerful method in neuroscience that uses the blood oxygenation level-dependent (BOLD) signal to record and analyze neural activity in the brain.
Maysam Nezafati +3 more
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