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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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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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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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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Voluntary Respiration Control: Signature Analysis by EEG
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 The perception of voluntary respiratory consciousness is quite important in some situations, such as respiratory assistance and respiratory rehabilitation training, and the key signatures about voluntary respiration control may lie in the neural signals ...
Yue Wang +8 more
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Non Linear Heart Rate Variability Study During Pregnancy in Indian Women [PDF]
Journal of Clinical and Diagnostic Research, 2018 Introduction: Adaptation of Autonomic Nervous System (ANS) in pregnancy can be suitably assessed by Heart Rate Variability (HRV). Non linear methods of HRV better quantify the chaotic dynamics of HRV.
Manish Sawane +2 more
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Entropy in Investigation of Vasovagal Syndrome in Passive Head Up Tilt Test
Entropy, 2017 This paper presents an application of Approximate Entropy (ApEn) and Sample Entropy (SampEn) in the analysis of heart rhythm, blood pressure and stroke volume for the diagnosis of vasovagal syndrome.
Katarzyna Buszko +3 more
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