Results 11 to 20 of about 140,474 (248)
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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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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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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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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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 sEMG Signals at Different Stages of Rectal Cancer Treatment [PDF]
Entropy, 2018 Information theory provides a spectrum of nonlinear methods capable of grasping an internal structure of a signal together with an insight into its complex nature.
Paulina Trybek +4 more
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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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Low Computational Cost for Sample Entropy [PDF]
Entropy, 2018 Sample Entropy is the most popular definition of entropy and is widely used as a measure of the regularity/complexity of a time series. On the other hand, it is a computationally expensive method which may require a large amount of time when used in long
George Manis +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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