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
doaj +2 more sources
Entropy, 2022 Body temperature is usually employed in clinical practice by strict binary thresholding, aiming to classify patients as having fever or not. In the last years, other approaches based on the continuous analysis of body temperature time series have emerged.
Borja Vargas +6 more
doaj +2 more sources
Variational Embedding Multiscale Sample Entropy: A Tool for Complexity Analysis of Multichannel Systems [PDF]
Entropy, 2021 Entropy-based methods have received considerable attention in the quantification of structural complexity of real-world systems. Among numerous empirical entropy algorithms, conditional entropy-based methods such as sample entropy, which are associated ...
Hongjian Xiao, Danilo P. Mandic
doaj +2 more sources
Interpretation of Entropy Algorithms in the Context of Biomedical Signal Analysis and Their Application to EEG Analysis in Epilepsy [PDF]
Entropy, 2019 Biomedical signals are measurable time series that describe a physiological state of a biological system. Entropy algorithms have been previously used to quantify the complexity of biomedical signals, but there is a need to understand the relationship of
Lampros Chrysovalantis Amarantidis +1 more
doaj +2 more sources
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.
europepmc +2 more sources
Speech Endpoint Detection Based on Multi-scale Sample Entropy and Threshold [PDF]
Jisuanji gongcheng, 2016 In order to overcome the defect that sample entropy can be falsely detected due to its sensitivity to the suddenly changing noise,this paper proposes a speech endpoint detection algorithm.This algorithm does the multi-scale transform for the speech ...
WANG Bo,YU Fengqin
doaj +1 more source
Accelerating the Computation of Entropy Measures by Exploiting Vectors with Dissimilarity
Entropy, 2017 In the diagnosis of neurological diseases and assessment of brain function, entropy measures for quantifying electroencephalogram (EEG) signals are attracting ever-increasing attention worldwide.
Yun Lu +3 more
doaj +1 more source
Analysis of Streamflow Complexity Based on Entropies in the Weihe River Basin, China
Entropy, 2019 The study on the complexity of streamflow has guiding significance for hydrologic simulation, hydrologic prediction, water resources planning and management. Utilizing monthly streamflow data from four hydrologic control stations in the mainstream of the
Weijie Ma, Yan Kang, Songbai Song
doaj +1 more source
Classification of Five-Second Epileptic EEG Recordings Using Distribution Entropy and Sample Entropy
Frontiers in Physiology, 2016 Epilepsy is an electrophysiological disorder of the brain, the hallmark of which is recurrent and unprovoked seizures. Electroencephalogram (EEG) measures electrical activity of the brain that is commonly applied as a non-invasive technique for seizure ...
Peng eLi +4 more
doaj +1 more source