Results 71 to 80 of about 456,367 (154)

A Comprehensive Assessment of EEG Entropy Measures for Bipolar Disorder Diagnosis Using Machine Learning

open access: yesIEEE Access
Bipolar disorder (BD) is a common psychiatric condition with varying severity, characterized by alternating episodes of mania or hypomania and depression, making accurate and timely diagnosis challenging.
Hamed Bagheri   +7 more
doaj   +1 more source

基于MWPE和DBO‑SVM的齿轮故障诊断

open access: yesZhendong Ceshi yu Zhenduan
针对齿轮故障领域识别率低和识别时间长的问题,基于多尺度加权排列熵(multiscale weighted permutation entropy,简称MWPE)、蜣螂算法(dung beetle optimizer,简称DBO)与支持向量机(support vector machine,简称SVM)的原理,提出基于MWPE和DBO结合SVM的故障识别方法。首先,由于MWPE的嵌入维数难以确定且对结果影响较大,通过MWPE熵值分析引入变异系数(coefficient of variation,简称CV ...
doaj   +1 more source

Improved Multivariate Multiscale Permutation Entropy for Two-Modality Signal Analysis: ECG and EEG

open access: yes
Accurate analysis of multimodal physiological signals is crucial for early abnormality detection. Although multivariate permutation entropy (mvPE) provides an efficient framework for multichannel complexity analysis, its neglect of inter-channel ...
Jiani Guo   +5 more
core   +1 more source

Permutation Entropy: New Ideas and Challenges

open access: yes, 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

A New Fuzzy Logic Classifier Based on Multiscale Permutation Entropy and Its Application in Bearing Fault Diagnosis. [PDF]

open access: yesEntropy (Basel), 2019
Du W   +12 more
europepmc   +1 more source

Multiscale Permutation Entropy and Forbidden Patterns for Stock Market Volatility Analysis

open access: yes
Volatility forecasting is essential for risk management in financial markets. We present a multiscale framework combining permutation entropy and forbidden pattern analysis to detect nonlinear structures in high-frequency stock returns. By applying the method to S&P 500 and CSI 300 indices, we observed a 34% increase in detection sensitivity ...
James R. Whitmore   +4 more
openaire   +1 more source

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