Results 41 to 50 of about 3,443,010 (236)
Epileptogenic focus detection in intracranial EEG based on delay permutation entropy [PDF]
, 2013 Epileptogenic localization is a critical factor for successful epilepsy surgery. Determining the epileptogenic hippocampus with single channel intracranial electroencephalography (iEEG) recording is beneficial to decrease the risk of infection compared ...
Peng Paul Wen +9 more
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Applying Improved Multiscale Fuzzy Entropy for Feature Extraction of MI-EEG
Applied Sciences, 2017 Electroencephalography (EEG) is considered the output of a brain and it is a bioelectrical signal with multiscale and nonlinear properties. Motor Imagery EEG (MI-EEG) not only has a close correlation with the human imagination and movement intention but ...
Ming-ai Li +3 more
doaj +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source
Classifying Epileptic EEG Signals with Delay Permutation Entropy and Multi-scale K-Means
, 2014 Most epileptic EEG classification algorithms are supervised and require large training datasets, that hinder their use in real time applications. This chapter proposes an unsupervised Multi-Scale K-means (MSK-means) algorithm to distinguish epileptic EEG
Zhu, Guohun +7 more
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Anesthesia Assessment Based on ICA Permutation Entropy Analysis of Two-Channel EEG Signals [PDF]
, 2019 Inaccurate assessment may lead to inaccurate levels of dosage given to the patients that may lead to intraoperative awareness that is caused by under dosage during surgery or prolonged recovery in patients that is caused by over dosage after the surgery ...
Sivakumar, Prashanth +5 more
core +1 more source
Permutation Entropy: New Ideas and Challenges
, 2017 Over recent years, some new variants of Permutation entropy have been introduced and applied to EEG analysis, including a conditional variant and variants using some additional metric information or being based on entropies that are different from the ...
Karsten Keller +3 more
core +1 more source
Entropy, 2019 Multi-scale permutation entropy (MPE) is a statistic indicator to detect nonlinear dynamic changes in time series, which has merits of high calculation efficiency, good robust ability, and independence from prior knowledge, etc.
Xianzhi Wang +3 more
doaj +1 more source
Working Memory Classification Enhancement of EEG Activity in Dementia: A Comparative Study
Al-Khawarizmi Engineering Journal, 2023 The purpose of the current investigation is to distinguish between working memory ( ) in five patients with vascular dementia ( ), fifteen post-stroke patients with mild cognitive impairment ( ), and fifteen healthy control individuals ( ) based on ...
Noor Kamal Al-Qazzaz +2 more
doaj +1 more source
The human gut microbiome across the life course
FEBS Letters, EarlyView.Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source
, 2021 Among various modifications of the permutation entropy defined as the Shannon entropy of the ordinal pattern distribution underlying a system, a variant based on Rényi entropies was considered in a few papers.
Karsten Keller, Tim Gutjahr
core +1 more source