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Information Entropy and Its Applications
Ultrasound is a first-line diagnostic tool for imaging many disease states. A number of statistical distributions have been proposed to describe...
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A fast sample entropy for pulse rate variability analysis
Sample entropy is an effective nonlinear index for analyzing pulse rate variability (PRV) signal, but it has problems with a large amount of...
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Motivation-related influences on fNIRS signals during walking exercise: a permutation entropy approach
Cortical activity is typically indexed by analyzing functional near-infrared spectroscopy (fNIRS) signals in terms of the mean (e.g., mean oxygenated...
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Common hyper-entropy patterns identified in nicotine smoking, marijuana use, and alcohol use based on uni-drug dependence cohorts
Substance use disorders present similar behaviors and psychopathologies related to impaired decision making/inhibition control and information...
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Edge-based relative entropy as a sensitive indicator of critical transitions in biological systems
BackgroundDisease progression in biosystems is not always a steady process but is occasionally abrupt. It is important but challenging to signal...
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Fetal QRS extraction from single-channel abdominal ECG using adaptive improved permutation entropy
Fetal electrocardiogram (fECG) monitoring is crucial for assessing fetal condition during pregnancy. However, current fECG extraction algorithms are...
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Effects of Pharmacological Treatments in Alzheimer’s Disease: Permutation Entropy-Based EEG Complexity Study
Alzheimer’s disease (AD) is a neurodegenerative brain disease affecting cognitive and physical functioning. The currently available pharmacological...
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Multivariate multiscale entropy (mMSE) as a tool for understanding the resting-state EEG signal dynamics: the spatial distribution and sex/gender-related differences
BackgroundThe study aimed to determine how the resting-state EEG (rsEEG) complexity changes both over time and space (channels). The complexity of...
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Schizophrenia Diagnosis by Weighting the Entropy Measures of the Selected EEG Channel
PurposeSchizophrenia refers to a lifelong drastic and debilitating mental illness. Clinically, it is described by several symptoms. Monitoring the...
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Multiscale entropy of ADHD children during resting state condition
This present study aims to investigate neural mechanisms underlying ADHD compared to healthy children through the analysis of the complexity and the...
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Plane invariant segmentation of computed tomography images through weighted cross entropy optimized conditional GANs in compressed formats
Computed tomography (CT) scan provides first-hand knowledge to doctors to identify an ailment. Deep neural networks help enhance image understanding...
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Shared increased entropy of brain signals across patients with different mental illnesses: A coordinate-based activation likelihood estimation meta-analysis
Entropy is a measurement of brain signal complexity. Studies have found increased/decreased entropy of brain signals in psychiatric patients. There...
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An integrated entropy-spatial framework for automatic gender recognition enhancement of emotion-based EEGs
Investigating gender differences based on emotional changes using electroencephalogram (EEG) is essential to understand various human behavior in the...
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Automatic diagnosis of late-life depression by 3D convolutional neural networks and cross-sample Entropy analysis from resting-state fMRI
Resting-state fMRI has been widely used in investigating the pathophysiology of late-life depression (LLD). Unlike the conventional linear approach,...
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Understanding work-related travel and its relation to malaria occurrence in Thailand using geospatial maximum entropy modelling
BackgroundEstimating malaria risk associated with work locations and travel across a region provides local health officials with information useful...
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Identifying the critical states and dynamic network biomarkers of cancers based on network entropy
BackgroundThere are sudden deterioration phenomena during the progression of many complex diseases, including most cancers; that is, the biological...
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Covid-19 Detection by Wavelet Entropy and Self-adaptive PSO
The rapid global spread of COVID-19 disease poses a huge threat to human health and the global economy. The rapid increase in the number of patients...
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Entropy Analysis in Gait Research: Methodological Considerations and Recommendations
The usage of entropy analysis in gait research has grown considerably the last two decades. The present paper reviews the application of different...
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Investigation of Molecular Diffusion at Block Copolymer Thin Films Using Maximum Entropy Method-Based Fluorescence Correlation Spectroscopy and Single Molecule Tracking
Fluorescence correlation spectroscopy (FCS) has been widely used to investigate molecular diffusion behavior in various samples. The use of the...
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Classification of Homo sapiens gene behavior using linear discriminant analysis fused with minimum entropy map**
Classification of Homo sapiens gene behavior employing computational biology is a recent research trend. But monitoring gene activity profile and...
