Results 11 to 20 of about 142,163 (254)
Low Computational Cost for Sample Entropy
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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Intraoperative short-term blood pressure variability and postoperative acute kidney injury: a single-center retrospective cohort study using sample entropy analysis [PDF]
BMC AnesthesiologyBackground To investigate if intraoperative very short-term variability in blood pressure measured by sample entropy improves discrimination of postoperative acute kidney injury after noncardiac surgery. Methods Adult surgical patients undergoing general,
Ryan Folks +6 more
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On the use of approximate entropy and sample entropy with centre of pressure time-series [PDF]
Journal of NeuroEngineering and Rehabilitation, 2018 Background Approximate entropy (ApEn) and sample entropy (SampEn) have been previously used to quantify the regularity in centre of pressure (COP) time-series in different experimental groups and/or conditions. ApEn and SampEn are very sensitive to their
Luis Montesinos +2 more
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A Novel Blind Signal Detector Based on the Entropy of the Power Spectrum Subband Energy Ratio
Entropy, 2021 In this paper, we present a novel blind signal detector based on the entropy of the power spectrum subband energy ratio (PSER), the detection performance of which is significantly better than that of the classical energy detector. This detector is a full
Han Li, Yanzhu Hu, Song Wang
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The Systematic Bias of Entropy Calculation in the Multi-Scale Entropy Algorithm
Entropy, 2021 Entropy indicates irregularity or randomness of a dynamic system. Over the decades, entropy calculated at different scales of the system through subsampling or coarse graining has been used as a surrogate measure of system complexity.
Jue Lu, Ze Wang
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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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Brain Entropy Study on Obsessive-Compulsive Disorder Using Resting-State fMRI
Frontiers in Psychiatry, 2021 Object: Brain entropy is a potential index in the diagnosis of mental diseases, but there are some differences in different brain entropy calculation, which may bring confusion and difficulties to the application of brain entropy.
Xi Jiang +8 more
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Rainfall Patterns From Multiscale Sample Entropy Analysis
Frontiers in Water, 2022 Precipitation is a manifestation of many interacting complex processes. How to grasp its temporal pattern that would reveal underlain dominant contributing factors is the key objective of the study.
Xiangyang Zhou +4 more
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Sampling, Metric Entropy, and Dimensionality Reduction [PDF]
SIAM Journal on Mathematical Analysis, 2015 Let $Q$ be a relatively compact subset in a Hilbert space $V$. For a given $\e>0$ let $N(\e,Q)$ be the minimal number of linear measurements, sufficient to reconstruct any $x \in Q$ with the accuracy $\e$. We call $N(\e,Q)$ a sampling $\e$-entropy of $Q$.
Dmitry Batenkov +2 more
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Comparative study of approximate entropy and sample entropy robustness to spikes [PDF]
Artificial Intelligence in Medicine, 2011 There is an ongoing research effort devoted to characterize the signal regularity metrics approximate entropy (ApEn) and sample entropy (SampEn) in order to better interpret their results in the context of biomedical signal analysis. Along with this line, this paper addresses the influence of abnormal spikes (impulses) on ApEn and SampEn measurements.A
Antonio Molina-Picó +5 more
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