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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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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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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Short-Term HRV Analysis Using Nonparametric Sample Entropy for Obstructive Sleep Apnea. [PDF]
Entropy (Basel), 2021 Obstructive sleep apnea (OSA) is associated with reduced heart rate variability (HRV) and autonomic nervous system dysfunction. Sample entropy (SampEn) is commonly used for regularity analysis.
Liang D, Wu S, Tang L, Feng K, Liu G.
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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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