Results 11 to 20 of about 773,938 (293)

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
doaj   +4 more sources

Approximate entropy of network parameters [PDF]

Physical Review E, 2012
11 pages, 5 EPS ...
West, James, Lacasa Saiz de Arce, Lucas, Severini, Simone, Teschendorff, Andrew   +3 more
openaire   +6 more sources

Challenging Recently Published Parameter Sets for Entropy Measures in Risk Prediction for End-Stage Renal Disease Patients

Entropy, 2017
Heart rate variability (HRV) analysis is a non-invasive tool for assessing cardiac health. Entropy measures quantify the chaotic properties of HRV, but they are sensitive to the choice of their required parameters.
Stefan Hagmair, Martin Bachler, Matthias C. Braunisch, Georg Lorenz, Christoph Schmaderer, Anna-Lena Hasenau, Lukas von Stülpnagel, Axel Bauer, Kostantinos D. Rizas, Siegfried Wassertheurer, Christopher C. Mayer   +10 more
doaj   +2 more sources

Approximate entropy for testing randomness

Journal of Applied Probability, 2000
This paper arose from interest in assessing the quality of random number generators. The problem of testing randomness of a string of binary bits produced by such a generator gained importance with the wide use of public key cryptography and the need for secure encryption algorithms.
Andrew L. Rukhin
openaire   +2 more sources

Approximation of Entropy Numbers [PDF]

Complex Analysis and Operator Theory, 2019
10 ...
K. P. Deepesh, V. B. Kiran Kumar
openaire   +2 more sources

Application of Entropy for Automated Detection of Neurological Disorders With Electroencephalogram Signals: A Review of the Last Decade (2012–2022)

IEEE Access, 2023
An automated Neurological Disorder detection system can be considered as a cost-effective and resource efficient tool for medical and healthcare applications.
S. Janifer Jabin Jui, Ravinesh C. Deo, Prabal Datta Barua, Aruna Devi, Jeffrey Soar, U. Rajendra Acharya   +5 more
doaj   +1 more source

Approximate entropy as an indicator of non-linearity in self paced voluntary finger movement EEG [PDF]

, 2013
This study investigates the indications of non-linear dynamic structures in electroencephalogram signals. The iterative amplitude adjusted surrogate data method along with seven non-linear test statistics namely the third order autocorrelation, asymmetry
Balli, Tugce, Ballı, Tuğçe, Palaniappan, Ramaswamy   +2 more
core   +1 more source

Approximate entropy and auto mutual information analysis of the electroencephalogram in Alzheimer's disease patients [PDF]

, 2008
We analysed the electroencephalogram (EEG) from Alzheimer's disease (AD) patients with two nonlinear methods: approximate entropy (ApEn) and auto mutual information (AMI).
Gomez, C., Escudero, J.; id_orcid, Espino, P., Hornero, R., Abasolo, D., Hornero, R, Espino, P, Escudero, J, Gómez, C, Abásolo, D   +9 more
core   +1 more source

Communication Efficient Algorithms for Bounding and Approximating the Empirical Entropy in Distributed Systems

Entropy, 2022
The empirical entropy is a key statistical measure of data frequency vectors, enabling one to estimate how diverse the data are. From the computational point of view, it is important to quickly compute, approximate, or bound the entropy. In a distributed
Amit Shahar, Yuval Alfassi, Daniel Keren
doaj   +1 more source

Relative Consistency of Sample Entropy Is Not Preserved in MIX Processes

Entropy, 2020
Relative consistency is a notion related to entropic parameters, most notably to Approximate Entropy and Sample Entropy. It is a central characteristic assumed for e.g., biomedical and economic time series, since it allows the comparison between ...
Sebastian Żurek, Waldemar Grabowski, Klaudia Wojtiuk, Dorota Szewczak, Przemysław Guzik, Jarosław Piskorski   +5 more
doaj   +1 more source