Results 31 to 40 of about 140,474 (248)

Entropy Approximation by Machine Learning Regression: Application for Irregularity Evaluation of Images in Remote Sensing

Remote Sensing, 2022
Approximation of entropies of various types using machine learning (ML) regression methods are shown for the first time. The ML models presented in this study define the complexity of the short time series by approximating dissimilar entropy techniques ...
Andrei Velichko, Maksim Belyaev, Matthias P. Wagner, Alireza Taravat   +3 more
doaj   +1 more source

Entropy Analysis of Heart Rate Variability in Different Sleep Stages

, 2022
How the complexity or irregularity of heart rate variability (HRV) changes across different sleep stages and the importance of these features in sleep staging are not fully understood. This study aimed to investigate the complexity or irregularity of the
Yang Li, Chengyu Liu, Jianqing Li, Peng Li, Chang Yan, Meicheng Yang, Hongxing Zhang   +6 more
core   +1 more source

Characterization of Artifact Influence on the Classification of Glucose Time Series Using Sample Entropy Statistics

Entropy, 2018
This paper analyses the performance of SampEn and one of its derivatives, Fuzzy Entropy (FuzzyEn), in the context of artifacted blood glucose time series classification.
David Cuesta-Frau, Daniel Novák, Vacláv Burda, Antonio Molina-Picó, Borja Vargas, Milos Mraz, Petra Kavalkova, Marek Benes, Martin Haluzik   +8 more
doaj   +1 more source

On the effects of signal processing on sample entropy for postural control. [PDF]

PLoS ONE, 2018
Sample entropy, a measure of time series regularity, has become increasingly popular in postural control research. We are developing a virtual reality assessment of sensory integration for postural control in people with vestibular dysfunction and wished
Anat V Lubetzky, Daphna Harel, Eyal Lubetzky   +2 more
doaj   +1 more source

Multidimensional Scaling Visualization using Parametric Similarity Indices [PDF]

, 2015
In this paper, we apply multidimensional scaling (MDS) and parametric similarity indices (PSI) in the analysis of complex systems (CS). Each CS is viewed as a dynamical system, exhibiting an output time-series to be interpreted as a manifestation of its ...
Alexandra M. Galhano, António Lopes, Alexandra Galhano, J. A. Tenreiro Machado, Machado, J. A. Tenreiro, António M. Lopes, J. Tenreiro Machado, Lopes, António M., Galhano, A.M.   +8 more
core   +1 more source

A New Physically Meaningful Threshold of Sample Entropy for Detecting Cardiovascular Diseases [PDF]

Entropy (Basel), 2019
Sample Entropy (SampEn) is a popular method for assessing the regularity of physiological signals. Prior to the entropy calculation, certain common parameters need to be initialized: Embedding dimension m, tolerance threshold r and time series length N ...
Xiong J, Liang X, Zhu T, Zhao L, Li J, Liu C.   +5 more
europepmc   +2 more sources

Application of adaptive local iterative filtering in gear fault identificatio

Gong-kuang zidonghua, 2021
In order to solve the problem that the measured signal of gears cannot accurately reflect the fault characteristics due to noise interference, adaptive local iterative filtering is proposed to be applied to gear fault identification, which is combined ...
GUO Dewei, PU Yasong, JIANG Jie, YU Libin, MIN Jie, ZHANG Wenbin   +5 more
doaj   +1 more source

Clinical and Biological Features of Response in Resistant Neuroblastoma to 131I‐Metaiodobenzylguanidine Radiotherapy in the Anti‐GD2 Immunotherapy Era

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background 131I‐metaiodobenzylguanidine (131I‐MIBG) radiotherapy is a key treatment for relapsed and refractory (R/R) neuroblastoma (NB). Patients with R/R disease treated in the modern era are increasingly exposed to anti‐GD2 immunotherapy, which exerts selective pressure and may modify both tumor cell state and microenvironment.
Benjamin J. Lerman, Katherine K. Matthay, Fabienne Hollinger, Catriona Black, Ann A. Lazar, Miguel Pampaloni, Steven G. DuBois, Kieuhoa T. Vo   +7 more
wiley   +1 more source

How biased are maximum entropy models? [PDF]

, 2011
Maximum entropy models have become popular statistical models in neuroscience and other areas in biology, and can be useful tools for obtaining estimates of mutual information in biological systems.
Peter E. Latham, Latham, P., Macke, Jakob H., Iain Murray, Murray, I., Murray, Iain; id_orcid, Latham, Peter E., Jakob H. Macke, Macke, J.   +8 more
core  

Assessment of the Effectiveness of Rehabilitation after Total Knee Replacement Surgery Using Sample Entropy and Classical Measures of Body Balance

, 2021
Exercises in virtual reality (VR) have recently become a popular form of rehabilitation and are reported to be more effective than a standard rehabilitation protocol alone.
Rafał Boratyński, Anna Hadamus, Edyta Urbaniak, Kamil T. Wydra, Dariusz Białoszewski, Wojciech Marczyński, Karolina Wiaderna, Michalina Błażkiewicz, Agnieszka Kobza, Aleksandra J. Kowalska   +9 more
core   +1 more source